Python Developer Jobs in Saudi

<p>Position Overview We are seeking a technically strong and solution-oriented Lead Applied AI Engineer to support the design and implementation of advanced AI and analytics solutions. This role is ideal for someone with 6+ years of experience in data science and applied machine learning who enjoys combining technical depth with real-world problem-solving. You will work closely with internal technical teams and external clients to translate business needs into scalable AI solutions. You ll also guide junior team members, contribute to hands-on model development, and ensure seamless delivery of analytical components into production environments.</p><p>Key Responsibilities</p><p>Agentic AI, LLMs &amp; Modern AI Systems</p><ul><li>Architect and implement production-grade agentic AI systems using LLM orchestration frameworks and protocols (e.g., LangChain, LangGraph, Langfuse, MCP).</li><li>Design and deploy Retrieval-Augmented Generation (RAG) pipelines including chunking strategies, vector store selection, hybrid retrieval, and evaluation.</li><li>Build multi-agent systems with tool use, memory, planning, and inter-agent coordination for enterprise automation and decision-support.</li><li>Evaluate and integrate frontier LLMs (OpenAI, Anthropic, Mistral, open-source) into secure, scalable production architectures, on cloud and on-prem.</li><li>Stay at the forefront of emerging agentic AI research and translate findings into practical product capabilities.</li></ul><p>Classical ML, Data Science &amp; Analytics</p><ul><li>Design and implement end-to-end ML pipelines: data ingestion, feature engineering, model training, hyper parameter tuning, validation, and deployment.</li><li>Apply classical ML techniques across regression, classification, clustering, time-series forecasting, anomaly detection, and optimization.</li><li>Deliver rigorous data analysis and statistical modeling to generate actionable insights for clients.</li><li>Ensure models are production-ready: robust, interpretable, monitored, and aligned with business KPIs.</li></ul><p>Technical Leadership &amp; Mentorship</p><ul><li>Lead, mentor, and coach junior data and AI scientists guiding their technical growth, reviewing their code, and building their problem-solving capabilities.</li><li>Define and enforce technical standards, best practices, and review processes across the data science team.</li><li>Drive knowledge-sharing through internal presentations, documentation, and technical sessions.</li></ul><p>Client-Facing Analytics Solutioning</p><ul><li>Collaborate with client engagement and technical teams to understand business requirements and translate them into actionable AI/analytics solutions.</li><li>Provide strategic input on solution design, aligning analytical capabilities with client objectives.</li><li>Serve as a technical lead in solution delivery discussions and workshops with clients.</li></ul><p>Integration, Deployment &amp; MLOps</p><ul><li>Collaborate with engineering teams to ensure seamless deployment of models into production via APIs, containerization (Docker/Kubernetes), and CI/CD pipelines.</li><li>Implement model monitoring, drift detection, and retraining workflows to maintain solution performance post-deployment.</li><li>Champion clean, maintainable, well-documented code practices across the team.</li></ul><p>Technical Stack</p><ul><li>Languages &amp; Libraries: Python (primary), SQL, NumPy, pandas, scikit-learn, XGBoost, LightGBM</li><li>Agentic &amp; LLM Frameworks: LangChain, LangGraph, Model Context Protocol (MCP), OpenAI API, Anthropic API</li><li>RAG &amp; Vector Stores: FAISS, Pinecone; embedding models and evaluation frameworks</li><li>Deep Learning: PyTorch, TensorFlow/Keras, Hugging Face Transformers</li><li>Cloud: one or more of: AWS, GCP, Azure</li><li>Databases: PostgreSQL, Oracle; vector databases</li><li>MLOps: Docker, MLflow, CI/CD pipelines</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</li><li>6-8+ years of hands-on experience in data science, applied machine learning, and AI engineering.</li><li>Demonstrable production experience with LLMs, RAG pipelines, and agentic AI systems.</li><li>Strong classical ML and statistical modeling expertise across multiple problem types and domains.</li><li>Demonstrated ability to lead technical work and mentor junior team members.</li><li>Ability to balance technical depth with practical delivery and business impact.</li><li>Excellent collaboration and communication skills to work across teams and with clients.</li><li>Fluency in English (written and spoken).</li><li>Arabic</li><li>Nice to Have: Experience delivering AI solutions across multiple industry sectors (e.g., government, energy, finance, healthcare, or retail).</li><li>Client-facing or consulting experience working directly with external stakeholders on solution design and delivery.</li><li>Experience with on-premise LLM deployment and air-gapped AI environments.</li><li>Familiarity with Arabic NLP and multilingual models.</li><li>Background in decision intelligence, operations research, or simulation modeling.</li><li>Publications, open-source contributions, or public technical presence.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><strong>Be the change. Join the world’s most visionary developer.</strong></p><br><br> <br> <p>Red Sea Global (RSG) is showing that there is a better way to positively shape the places we live, work and travel.</p><br><br> <br> <p>We are purpose-driven and committed to people and planet. Our transformative programs are a driving force to achieving Vision 2030, as well as leading the world towards regenerative tourism.</p><br><br> <br> <p><strong>Join RSG and be part of the positive change for Saudi Arabia and the world.</strong></p><br><br> <br> <br> <p><strong>Job Purpose:</strong></p><br><br> <br> <p>Red Sea Global is seeking an experienced Simulation Technical Artist Assistant Manager, specializing in Unreal Engine, Real-time environments, Digital Twins, and Interactive Simulations to work in Red Sea Studios. This role focuses on the development and optimization of immersive, interactive content that visualizes major architectural and environmental developments. The ideal candidate brings technical artistry and game engine expertise to support both production execution and team operations—bridging visuals with interactivity.</p><br><br> <br> <br> <p><strong>Job Responsibilities:</strong></p><br><br> <br> <ul> <li>Proficiency in Unreal Engine, with experience using Blueprints for the development of interactive simulations and real-time systems.</li> <li>Strong technical skills in shader development, lighting design, and post-processing to achieve high-fidelity, optimized visual results.</li> <li>Skilled in creating modular assets, managing environment streaming, and developing scalable worldbuilding systems.</li> <li>Experience designing and delivering content for VR/AR platforms and immersive walkthroughs.</li> <li>Expertise in performance profiling and optimization to ensure smooth operation across PCs, VR devices, and interactive displays.</li> <li>Knowledge of real-time UI/UX development, interactive input systems, and user experience design.</li> <li>Proven track record of collaboration within multidisciplinary teams and providing technical mentorship to peers.</li> <li>Familiarity with version control systems and efficient project management practices within production pipelines.</li> <li>Passion for innovation and research in applying Unreal Engine to Digital Twin solutions, simulations, and immersive experiences.</li> </ul> <br> <p><strong>Policies, Systems, Processes, Procedures, Standards and Reports</strong></p><br><br> <ul> <li>Follow all relevant functional policies, processes, standard operating procedures, and instructions to ensure that work is carried out in a controlled and consistent manner.</li> <li>Assist in the preparation of accurate and timely functional MIS statements and reports to meet corporate and functional requirements, policies, and standards.</li> </ul> <br> <p><strong>Safety, Quality &amp; Environment</strong></p><br><br> <ul> <li>Apply safety, quality and environmental management policies, procedures, and controls to ensure employee safety, legislative compliance, delivery of high-quality products/service and a responsible environmental attitude.</li> </ul> <br> <p><strong>Continuous Improvement</strong></p><br><br> <ul> <li>Contribute to the identification of opportunities for continuous improvement of department’s systems, processes and practices considering ‘international best practice’, improvement of business processes, cost reduction and productivity improvement.</li> </ul> <br> <p><strong>Job Requirements:</strong></p><br><br> <br> <p><strong>Qualification and Experience</strong></p><br><br> <br> <ul> <li>Bachelor’s degree in Game Development, Interactive Media, Computer Graphics, or a related technical field.</li> <li>Minimum 5 years of professional experience in real-time visualization, game development, or simulation.</li> </ul> <br> <p><strong>Skills</strong></p><br><br> <br> <ul> <li>Advanced expertise in Unreal Engine, including environment creation, Blueprint scripting, shader/material development, and performance optimization.</li> <li>Proven ability to deliver realistic large-scale interactive simulations projects within AAA games standards, and virtual environments across multiple platforms.</li> <li>Experience with Niagara, lighting workflows, level streaming, and LOD systems to ensure high-quality visual performance.</li> <li>Strong understanding of performance profiling, memory management, and optimization for real-time rendering.</li> <li>Proficiency with version control systems (e.g. Perforce, Git) and structured collaborative production pipelines.</li> <li>Experience developing for VR, AR, or mixed reality applications.</li> <li>Familiarity with Digital Twin frameworks, BIM integration, IoT visualization, and GIS/urban mapping workflows.</li> <li>Exposure to scripting (C++, Python) and procedural world-building.</li> <li>Excellent communication skills with the ability to collaborate effectively with multidisciplinary teams and stakeholders.</li> </ul> <br> <br> <p><strong>For more information about Red Sea Global, visit:</strong></p><br><br> <p>&nbsp;Website:&nbsp;https://www.redseaglobal.com/en</p><br><br> <p>&nbsp;LinkedIn:&nbsp;https://www.linkedin.com/company/red-sea-global/</p><br><br> <p>▶️YouTube:&nbsp;https://www.youtube.com/channel/UCMo1fSbA3iOhvvC8OP0IYNA</p><br><br> <p>&nbsp;Twitter: @TheRedSeaGlobal</p><br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Mozn MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.<br> We’re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence.<br> Our culture is built on the relentless pursuit of excellence and meaningful impact.<br> If you’re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.<br> About the role We are looking for a Senior AI Engineer to lead the design, deployment, and optimization of machine learning and generative AI solutions.<br> The role focuses on applying advanced ML techniques to solve real-world challenges across government and enterprise clients in Saudi Arabia.<br> What you'll do Designing, building, and scaling machine learning models and infrastructure Deploying deep learning and generative models into production for public and private sector projects Optimizing ML training and inference for performance, latency, and scalability Monitoring, retraining, and improving deployed ML models Driving consultation efforts, providing expert guidance to client stakeholders Own the end-to-end delivery of AI solutions, including data pipelines, model development, backend services, APIs, integrations, user interfaces, deployment, and operations Design and build data ingestion, transformation, and processing pipelines for structured and unstructured data Develop backend services and APIs to expose AI capabilities securely and reliably Build or contribute to frontend applications, dashboards, and interfaces for AI-powered solutions Integrate AI solutions with enterprise systems, databases, authentication services, and third-party platforms You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.<br> You will be given a lot of responsibility and trust.<br> We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.<br> The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.<br> We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.<br> Bachelor's or master's degree in computer science or related field 5+ years of experience across software engineering, ML engineering, data science, data engineering and generative AI.<br> Strong track record of projects across public and private sectors Expertise in Python, TensorFlow, PyTorch, ONNX, and ML deployment frameworks Expertise in containerization and orchestration technologies (Docker, Kubernetes), with hands-on experience in ML lifecycle management (MLflow) and local LLM deployment frameworks (Ollama) Skilled in on-premise infrastructure design and enterprise architecture frameworks, with strong adherence to security and compliance best practices Deep understanding of hardware provisioning for local LLM deployments (GPU, RAM, and storage optimization) and secure network configurations for internal AI services Experience with cloud ML environments (SageMaker, Vertex AI, OCI Data Science) Familiarity with MLOps practices and automation pipelines Strong end-to-end engineering capabilities across AI, data engineering, backend development, APIs, integrations, and application deployment Experience building data ingestion, transformation, and processing pipelines Familiarity with backend frameworks such as FastAPI, Flask, Django, Node.<br>js, or equivalent technologies Experience designing and consuming REST APIs, webhooks, and enterprise integration interfaces Working knowledge of frontend technologies such as React, Next.<br>js, JavaScript, TypeScript, HTML, and CSS Experience integrating AI solutions with databases, enterprise applications, identity and access management systems, and third-party services Ability to independently build functional AI applications from prototype through production Experience effectively using AI-assisted software development tools to accelerate prototyping and delivery</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About Cohere and the North Platform</h3> <p style="margin:0 0 12px; ************;">Cohere is a leading security-first enterprise AI company dedicated to building cutting-edge foundation AI models and end-to-end products that address real-world business problems. The company focuses on training and deploying frontier models for enterprises developing AI systems, aiming to facilitate the widespread adoption of AI. Cohere operates as a global technology company with co-headquarters in Toronto and San Francisco, complemented by key offices in London, New York City, Montreal, Seoul, Germany, and Paris.</p> <p style="margin:0 0 12px; ************;">North is Cohere's AI workspace platform, specifically designed to revolutionize how enterprises utilize AI. It offers a secure and customizable environment, enabling companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with various workplace tools and applications.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">The Role: Forward Deployed Engineer, Agentic Platform</h3> <p style="margin:0 0 12px; ************;">Cohere is seeking a <strong style="font-weight:700;">Forward Deployed Engineer, Agentic Platform</strong> to join its team in Saudi Arabia. This full-time role, suitable for candidates with <strong style="font-weight:700;">0-1 years of experience</strong>, offers an opportunity to shape how enterprises harness AI in real-world applications. The position acts as a bridge between Cohere's core North product and client engineering teams, focusing on solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.</p> <p style="margin:0 0 12px; ************;">The successful candidate will own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents. This involves delivering concrete business value in enterprise workflows by building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. Agents developed must meet enterprise standards for reliability, observability, safety, and auditability from day one.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Work closely with enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies.</li> <li style="margin:0 0 6px;">Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, ensuring enterprise-grade reliability and performance.</li> <li style="margin:0 0 6px;">Build and ship features for North, Cohere's AI workspace platform, working across the full product lifecycle from conceptualization through production.</li> <li style="margin:0 0 6px;">Take ownership of scoping and shaping use cases end-to-end, adapting to technical areas as required, including frontend development, to drive the most effective solution.</li> <li style="margin:0 0 6px;">Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams.</li> <li style="margin:0 0 6px;">Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Hands-on experience building and deploying production-grade software in Python, demonstrating the ability to write clean, testable, observable, and scalable code.</li> <li style="margin:0 0 6px;">Experience building and deploying highly performant RAG (Retrieval Augmented Generation) and agentic applications, including agents that plan and execute multi-step tasks using patterns such as ReAct or Plan-and-Execute.</li> <li style="margin:0 0 6px;">Deep familiarity with the LLM stack, including frontier models, vector databases, and orchestration frameworks.</li> <li style="margin:0 0 6px;">Proven ability to build robust evaluation frameworks, moving beyond trial and error, to measure agent accuracy, safety, and latency.</li> <li style="margin:0 0 6px;">Experience working directly with customers and leading technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specifications.</li> <li style="margin:0 0 6px;">Experience owning the full scope of a use case end-to-end.</li> <li style="margin:0 0 6px;">Ability to thrive in fast-paced and ambiguous environments, executing effectively even when priorities are shifting.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Preferred Qualifications</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Experience setting architectural standards for AI and agentic systems across distributed teams.</li> <li style="margin:0 0 6px;">Experience adapting to unfamiliar technical areas, such as frontend development, when the problem calls for it.</li> <li style="margin:0 0 6px;">Exposure to regulated or sensitive industry environments, including finance, healthcare, or telecommunications.</li> <li style="margin:0 0 6px;">Experience with enterprise security, compliance, or auditability requirements for AI systems.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Environment and Travel</h3> <p style="margin:0 0 12px; ************;">This role operates in a fast-paced environment, maintaining high enterprise standards. The position requires anticipated travel between <strong style="font-weight:700;">20% and 40%</strong> to work on-site with customers and partners.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Professional Services &amp; Analysis</p> <ul> <li>Dive deep into complex datasets to design and execute advanced digital experience and product analytics analyses (e.g., feature adoption tracking, user journey mapping, funnel drop-offs, zone-based heatmaps, and session replay reviews).</li> <li>Own paid analytics projects from start to finish you will do the heavy lifting in the data, structure the analytical approach, and deliver the final executive readout.</li> <li>Move past just reporting the "what" and get to the "so what": build clear, direct reports that explicitly tell product and business teams what to fix, test, or build next based on actual user behavior.</li> <li>Fuel the client's A/B testing roadmap by pulling the quantitative proof needed to build strong hypotheses, and setting up the metrics to evaluate success.</li> <li>Incorporate AI-generated insights into your workflow, using automated data discovery as a baseline to accelerate your analysis while applying human intuition to validate, filter, and contextualize those findings for enterprise clients.</li> </ul> <p>Strategic Consulting &amp; Advisory</p> <ul> <li>Move beyond fulfilling basic reporting tickets; proactively dig into customer accounts to spot hidden revenue leaks, broken UX flows, and untapped optimization opportunities.</li> <li>Lead client meetings not just to present dashboards, but to confidently challenge business assumptions and recommend exactly where their digital teams should focus their efforts.</li> <li>Work hands-on and onsite with key enterprise clients (including full-time deployments in Jeddah if required) to troubleshoot their daily data challenges and show them how to actively use our platform to solve them.</li> <li>Partner directly with UX Design and technical implementation teams to ensure your data findings translate into actual, tangible changes on the client's website or app.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul> <li>Analytical &amp; Technical</li> <li>Proven experience taking ambiguous business or product questions (e.g., "Why is our checkout conversion dropping?" or "How do we improve feature adoption?") and independently structuring the data approach to find the answer.</li> <li>Demonstrated ability to mine web/app behavior or product usage datasets to proactively identify revenue leaks or UX friction points.</li> <li>Experience with digital analytics, behavioral data, or experimentation platforms (e.g., Contentsquare, Adobe Analytics, Google Analytics, Amplitude).</li> <li>A strong baseline understanding of data integration patterns, including pushing analytics data out into a broader tech stack like Salesforce, Snowflake, or external BI tools.</li> <li>Consulting &amp; Strategy</li> <li>A history of moving from a baseline "ticket-taker" to a strategic partner by actively aligning analytical insights with a client s primary business objectives and KPIs.</li> <li>Experience handling AI-driven change management, helping traditional client teams adopt and trust automated insights rather than defaulting to manual data extraction.</li> <li>Strong storytelling skills with data; the ability to explain complex quantitative anomalies simply to non-technical stakeholders and defend recommendations under pressure from cross-functional executive teams.</li> <li>Preferred Qualifications</li> <li>3-6 years of experience in digital analytics, digital strategy, product analytics, or management consulting in a highly customer-facing environment.</li> <li>At least 1 2 years of practical experience querying databases using SQL; familiarity with data pipelines or Python is a plus.</li> <li>Bachelor's degree in Business, Data Science, Information Systems, or a related field (or equivalent practical experience).</li> <li>Prior experience working directly with enterprise-level clients in Saudi Arabia or the broader MENAT market.</li> <li>Familiarity with digital transformation, conversion rate optimization (CRO), and agile delivery methodologies.</li> <li>Exceptional executive presence and stakeholder management; the ability to build immediate trust, navigate complex enterprise hierarchies, and align cross-functional teams toward a common goal.</li> <li>Professional proficiency in both Arabic and English.</li> <li>A "simplifier" mindset someone who naturally breaks down complex enterprise data challenges into clear, executive-ready operational roadmaps rather than settling for quick fixes</li> <li>Resilient, adaptable, and completely comfortable with frequent travel and dedicated, high-touch onsite client deployments (specifically between Riyadh and Jeddah).</li> </ul><p></p></section>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">This position is listed on behalf of a partner company. The role of AI Engineering Lead is based in Saudi Arabia and requires a seasoned professional with hands-on technical expertise and strategic engineering leadership. The focus is on designing and delivering AI solutions, establishing best practices, and transforming complex AI concepts into practical applications. This role involves working with generative AI, machine learning systems, and modern cloud architectures to shape innovative technology initiatives. The position offers significant influence over technical standards, solution design, and team development. Ideal candidates are passionate about emerging AI technologies, mentoring, and building scalable systems that deliver business value.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Lead, mentor, and develop a high-performing AI engineering team, fostering a culture of innovation, collaboration, and technical excellence.</li> <li style="margin:0 0 6px;">Serve as the primary technical authority for AI initiatives, providing guidance on architecture, implementation strategies, and engineering best practices.</li> <li style="margin:0 0 6px;">Design and deliver production-ready AI solutions, including machine learning systems, generative AI applications, retrieval-augmented generation (RAG) platforms, and agent-based workflows.</li> <li style="margin:0 0 6px;">Translate complex technical concepts into clear recommendations and actionable insights for both technical and non-technical stakeholders.</li> <li style="margin:0 0 6px;">Advise clients and internal teams on AI roadmaps, solution design, technology selection, and delivery strategies.</li> <li style="margin:0 0 6px;">Establish and promote standards for AI-first software development, cloud deployment, code quality, security, scalability, and operational excellence.</li> <li style="margin:0 0 6px;">Oversee the successful execution of multiple AI projects, ensuring high-quality delivery and alignment with business objectives.</li> <li style="margin:0 0 6px;">Evaluate emerging technologies and identify opportunities to enhance products, services, and engineering practices.</li> <li style="margin:0 0 6px;">Collaborate closely with cross-functional teams to ensure efficient deployment, adoption, and ongoing optimization of AI solutions.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Extensive hands-on experience designing, building, and deploying AI and machine learning solutions in production environments.</li> <li style="margin:0 0 6px;">Proven experience developing large language model (LLM) applications, retrieval-augmented generation (RAG) systems, AI agents, and AI-driven microservices.</li> <li style="margin:0 0 6px;">Demonstrated success leading, mentoring, or managing engineering teams in complex technical environments.</li> <li style="margin:0 0 6px;">Experience designing scalable, secure, and maintainable cloud-based architectures.</li> <li style="margin:0 0 6px;">Strong consulting, stakeholder management, and client-facing communication skills.</li> <li style="margin:0 0 6px;">Ability to explain technical trade-offs and strategic decisions to audiences with varying levels of technical expertise.</li> <li style="margin:0 0 6px;">Passion for continuous learning and staying current with advancements in artificial intelligence and software engineering.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Technical Skills and Expertise</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">AI Engineering, Machine Learning, Generative AI, Retrieval-Augmented Generation (RAG), and Agent-based workflows.</li> <li style="margin:0 0 6px;">Proficiency in Python and modern AI frameworks, tools, and libraries, including Large Language Models (LLMs) and AI-driven microservices.</li> <li style="margin:0 0 6px;">Experience with technologies such as LangChain, LlamaIndex, Vector Databases, PyTorch, TensorFlow, Docker, and Kubernetes.</li> <li style="margin:0 0 6px;">Familiarity with major cloud platforms including AWS, Azure, or Google Cloud.</li> <li style="margin:0 0 6px;">Solid understanding of MLOps, LLMOps, CI/CD pipelines, AI observability, model monitoring, performance optimization, latency management, and cost control.</li> <li style="margin:0 0 6px;">Team Leadership and Mentoring capabilities.</li> <li style="margin:0 0 6px;">Expertise in designing scalable, secure, and maintainable Cloud-based architectures.</li> <li style="margin:0 0 6px;">Strong Consulting, Stakeholder Management, and Client-facing communication skills.</li> <li style="margin:0 0 6px;">Proficiency in explaining technical trade-offs and strategic decisions.</li> <li style="margin:0 0 6px;">Commitment to Continuous Learning in Artificial Intelligence and Software Engineering.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Additional Role Information</h3> <p style="margin:0 0 12px; ************;">This role is for an AI Engineering Lead, with the company being Jobgether (on behalf of a partner company). The position is located in Saudi Arabia and requires over 10 years of experience. The work type is full-time.</p> <p style="margin:0 0 12px; ************;">Jobgether utilizes an AI-powered matching process for application review. The final decision and interview process are managed by the hiring company. By submitting your application, you acknowledge that Jobgether will process your personal data for evaluation and sharing with the hiring employer, based on legitimate interest and pre-contractual measures. You may exercise your data rights at any time. AI tools may be used to assist in the hiring process, but final decisions are human-led.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Opportunity: We are looking for a talented Customer Solutions Manager to play a key role in the Customer Solutions team. You have a strong history with Telecom RF&amp; Machine Learning and ideally, you have some experience with SQL, Python &amp; Tableau when needed. You ll be instrumental in delivering high-quality solutions that meet the needs of our users and clients. We value curiosity, innovation and willingness to continuously learn new technologies. This is a unique opportunity to play a key role in the success of a rapidly growing company with a global footprint. We foster a flexible, inclusive work environment that values creativity, collaboration, and individual expression. If you re excited about solving complex Wi-Fi networking challenges for customers and driven by customer success, we d love to meet you.</p><p>Key Responsibilities</p><ul><li>Act as the primary, dedicated point of contact for many of Ookla s highest valued customers</li><li>Actively develop and grow relationships across your customer s business and technical organizations</li><li>Educate, train, and support our clients to ensure optimum utilization of our product suite</li><li>Act as the primary resolution function for any issues or questions raised by your customers</li><li>Personally troubleshoot customer-facing business and technical issues, and drive issue escalation within Ookla as needed</li><li>Engage with Director and C-Level executives in support of their business needs</li><li>Partner internally with the sales team to periodically review account health and identify opportunities for future growth within your accounts, and assist with pre-sales activities</li><li>Champion and advocate for customer requirements within Ookla (be their voice)</li><li>Participate in customer requested meetings (onsite or via phone)</li><li>Continually develop your own knowledge and application of new technologies to support and enable growth of our customers</li><li>Think strategically about business, product, and technical challenges as you help our customers take advantage of Ookla s data products.</li><li>Leverage AI tools to improve efficiency in reporting, analysis, customer communication, and internal workflows.</li><li>Identify opportunities to automate repetitive tasks across customer success, technical analysis, and operational processes.</li><li>Support the development of AI-assisted dashboards, summaries, insights, and executive-ready outputs.</li><li>Use AI to accelerate market analysis, customer benchmarking, root-cause investigation, and trend identification.</li><li>Collaborate with product, data, and engineering teams to explore AI-driven use cases that improve customer value.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>We are looking for the right person, not the exact list of requirements. If you believe your life experience has prepared you for similar challenges, we d like to hear from you.</p><ul><li>5 - 10 years of enterprise-level, technology-related support or account management experience</li><li>Exceptional customer focus and bias for action</li><li>Experience supporting nascent products/services into new markets is strongly desired</li><li>Adept at establishing and developing relationships across customer organizations</li><li>Strong technical problem solving skills with a demonstrated ability to adapt to new technologies and learn quickly</li><li>Experience with data analytics, including applications like Tableau, SQL and advanced Excel functions</li><li>Experience visualizing big data to demonstrate value and quality to customers</li><li>Experience in Data Modelling and AI &amp; ML desirable.</li><li>Familiarity with internet, cellular and broadband technology and infrastructure</li><li>At least some experience with RAN/RF</li><li>Self-motivated with a track record of appropriate urgency and follow-through</li><li>Strong verbal and written communications skills with both clients and internal audiences, able to effectively communicate across all levels of the organization</li><li>Knowledge and expertise with Ookla s product offerings, including our licensing, data, and awards, or experience with similar technology-based product offerings</li><li>Ability to travel regularly to meet and connect with existing clients, and to attend Ookla corporate and team functions</li><li>Strategic thinker with the ability to see/understand the big picture</li><li>Global business experience a plus, with special focus on supporting the needs of an international customer base</li><li>Technical Program or Project Management experience a plus</li><li>B.A./B.S. degree or equivalent, Master s degree or international business education a plus</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The College of Business Administration at Prince Mohammad bin Fahd University (PMU) is seeking applications to fill a position in Management Information Systems at the rank of Associate Professor. Candidates are expected to teach a wide variety of basic and advanced in their discipline. Full-time faculty members are also expected to attend faculty meetings and university events, serve on committees, and engage in academic scholarship and professional development activities.</p><ul> <li>Carry out the duties of the position in accordance with College values and standards and in line with College policies and procedures, upholding high professional standards and leading by example.</li> <li>Work with our students as members of a learning community to provide world-class education and an excellent student experience.</li> <li>Integrate the College value of inclusiveness into all appropriate aspects of the job, respecting the dignity and diversity of all members of the College community and of visitors to the College.</li> <li>Promote the values of collegiality within the College community.</li> </ul><p><b>Teaching</b></p><ul> <li>Contribute at an appropriate level to school and faculty policy and practice in teaching and research.</li> <li>Play a significant role in the design, development, and planning of courses and programs within the subject area as required.</li> <li>Play a significant role in the review of courses and programs and in assessment, quality assurance, and quality enhancement as required.</li> <li>Develop innovative approaches to learning and teaching as appropriate.</li> <li>Provide timely feedback and assessment of coursework and examinations.</li> <li>Provide general support and guidance to students, resolving issues and/or referring to specialist parties, where appropriate.</li> </ul><p><b>Qualifications &amp; Experience</b></p><ul> <li>Maintain an appropriate scholarly or professional development activity and to keep up to date with developments in the field as necessary to carry out the duties of the position.</li> <li>Participate in the comprehensive advisement of students majoring in the College.</li> <li>Contribute to the overall work of the College and/or equivalent external organizations by representing the institution and faculty on appropriate committees and groups.</li> <li>Effectively contribute to the management and administrative processes and committee structures of the School, faculty, and College, as required.</li> <li>Participate in, manage, or lead major initiatives or areas of work (as either sustained or one-time projects) that facilitate School, faculty, or College performance and accreditation, as required.</li> <li>Participate in the recruitment, management, development, and mentoring of colleagues, as required.</li> <li>And perform any and all other position-related duties as requested by Chair, Dean, Vice President, or President.</li> </ul><p>PMU offers an income tax-free compensation package, commensurate with rank and experience, including 12-month salary, PMU accommodation, annual vacation, and annual round-trip airfare to the home country, medical insurance and end of contract benefits.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Applicants with research interests and experience in one or more of the following areas are especially encouraged to apply:</p><ul> <li>Business Analytics</li> <li>Programming languages (Python &amp; other analytics-oriented languages, C#, &amp; Java)</li> <li>Database Management &amp; Design</li> <li>Information Assurance</li> <li>E-Commerce Design, and E-commerce security</li> <li>System Analysis and Design</li> </ul><p>Candidates must have earned a doctorate degree in Management Information Systems or a closely related field from an accredited Western residential university. The ideal candidate also exhibits the following characteristics;</p><ul> <li>Excellent oral and written English communication skills.</li> <li>A minimum of three years of demonstrated teaching excellence in programs in which English is used as the language of instruction.</li> <li>An active research record as evidenced by publications in refereed journals and at conferences.</li> <li>A strong willingness to become engaged in service to the university and the community, and to participate in department, college, and university initiatives, especially as they relate to accreditation.</li> <li>Strong cultural awareness and sensitivity.</li> <li>Experience with AACSB accreditation is highly beneficial.</li> <li>Familiarity with technology-infused academic environments is required.</li> <li>Previous experiences in the Middle East in general and in GCC countries in particular are an added bonus.</li> <li>The candidate must provide a procedural Promotion Letter (for Associate Professor).</li> </ul><p></p></section>

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cloud Engineer based in Saudi Arabia.<br><br>Join a technical team focused on supporting and scaling modern cloud-based data environments.<br><br>In this role, you will help application teams onboard to Databricks and build reliable Data Landing Zones (DLZ).<br><br>You will work with Azure resources, Infrastructure as Code, automation, and deployment pipelines to deliver efficient solutions.<br><br>As a first-line technical point of contact, you will troubleshoot requests and help resolve issues through structured support processes.<br><br>You will also identify opportunities to automate repetitive activities and continuously improve operational workflows.<br><br>The role combines hands-on cloud engineering with application support in a collaborative, cross-functional environment.<br><br>It is an excellent opportunity to deepen your expertise in Databricks, Azure, IaC, and cloud automation while making a direct impact on data platform operations.<br><br>Accountabilities<br><br>Provide first-level technical support to application teams through the Service Now ticketing system, investigating and resolving common Databricks and cloud-related requests. Gather, clarify, and analyze technical requirements for onboarding new Data Landing Zones (DLZs). Execute pipelines, scripts, and automated processes to provision, configure, or modify Azure and Databricks resources. Support the deployment of commonly requested Azure resources using Infrastructure as Code (IaC) practices. Identify repetitive manual activities and develop automation to improve efficiency, consistency, and support response times. Collaborate with application, cloud, data, and other cross-functional teams to resolve technical issues and ensure smooth onboarding. Create, maintain, and continuously improve documentation covering support procedures, workflows, configurations, and troubleshooting processes. Contribute to the continuous improvement of cloud support operations and the overall Databricks environment.<br><br>Requirements<br><br>1–3 years of hands-on experience working with Databricks in a technical or operational environment.1–3 years of experience with Azure Data Factory. Previous experience in application support, technical operations, cloud support, or a similar role. Familiarity with major cloud platforms, particularly Azure, with exposure to AWS or GCP considered an advantage. Experience using source-control systems such as Git, Git Hub, or Git Lab. Understanding of Databricks capabilities such as Unity Catalog, role-based access control (RBAC), authentication mechanisms, and Delta Sharing is highly desirable. Experience working within the Azure ecosystem and understanding of cloud resource management. Familiarity with Infrastructure as Code tools such as Terraform, Bicep, or AWS CDK. Experience with CI/CD pipelines and automation platforms such as Azure Dev Ops, Jenkins, or Git Hub Actions is a plus. Scripting or development experience with Python, Power Shell, Bash, or similar technologies. Strong analytical and troubleshooting abilities, combined with attention to detail and a proactive approach to problem-solving. Ability to communicate clearly with application teams and collaborate effectively across technical and non-technical stakeholders.<br><br>Benefits<br><br>Opportunity to work hands-on with Databricks, Azure, cloud infrastructure, and modern data technologies. Exposure to Infrastructure as Code, CI/CD, automation, and cloud platform operations. Collaborative environment with opportunities to work closely with application and cross-functional technical teams. Opportunity to develop expertise in a growing data and cloud technology ecosystem. Role combining technical support, cloud engineering, automation, and continuous improvement. Potential for professional growth through exposure to a broad range of cloud and data platform challenges.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the Role<br>The AI/ML Support Analyst will be a key member of the KAUST Supercomputing Lab’s (KSL) AI/ML Support Team, supporting the delivery of AI research services to KAUST's diverse research community. Working under the AI/ML Support Team Lead, this role focuses on developing and optimizing Generative AI models, maintaining computational benchmarks, and providing expert consultation to researchers across multiple scientific domains, including Climate & Weather, Bioinformatics, CFD, NLP, and multimodal AI. The analyst will help bridge the gap between cutting-edge computational infrastructure and the diverse needs of the research community, contributing to governance, technical enablement, and community development initiatives.<br>Responsibilities<br>Generative AI Development and Consulting Providing timely and useful user support via telephone, walk-in, email, and ticketing system submissions for all types of inquiries. Maintain high customer service standards in dealing with and responding to user issues and questions. Develop and consult on large-scale Generative AI model training on domain-specific datasets across research areas including Climate & Weather, Bioinformatics, Computational Fluid Dynamics (CFD), NLP, and multimodal AI. Support researchers in fine-tuning foundation models on domain-specific datasets using advanced optimization techniques. Develop data engineering pipelines to support AI research workflows. Design and implement efficient AI workflows optimized for KSL's high-performance computing environment. Build and maintain secure, OCI-compliant, HPC-ready container images using Singularity, Podman, or similar. Develop complex workflows using SLURM and Kubernetes for distributed training and inference.<br>Governance and Compliance Support Conduct computational readiness reviews for AI research projects. Assist in AI model and artifact control reviews to ensure compliance with institutional standards. Support researchers in designing secure, compliant, and performant workflows. Provide expert consultation to researchers on efficient utilization of AI resources and best practices. Support the implementation of usage monitoring and reporting systems. Ensure user workflows comply with KSL security policies and best practices.<br>Benchmarking and Quality Assurance Develop and maintain computational benchmarks for AI workloads on KSL systems. Create and maintain regression testing workloads to stress test system functionality. Support performance debugging and optimization activities for research workloads. Contribute to technology evaluation and benchmarking exercises for future infrastructure investments. Perform benchmarking of new hardware and software configurations.<br>Training and Documentation Create comprehensive training materials for end-users on KSL’s HPC systems hosting AI workloads and tools. Develop and maintain high-quality technical documentation. Support the delivery of workshops on distributed training, fine-tuning, and inference optimization. Contribute to knowledge transfer initiatives within the KAUST research community. Provide one-on-one consultation to researchers on efficient use of computational resources.<br>Qualifications<br>Bachelor's or master’s degree in computer science, Data Science, Computational Science, Artificial Intelligence, or a related field. Strong academic foundation in machine learning, deep learning, and AI fundamentals.<br>Required Skills<br>Technical Skills - Essential Programming: Proficiency in Python; experience with R, Julia, Rust or C/C++ is a plus. AI/ML Frameworks: Strong expertise in PyTorch and/or Tensor Flow, JAX or similar. Generative AI: Experience with foundation model development and fine-tuning techniques. HPC Systems: Experience developing complex workflows using SLURM and/or Kubernetes. Containerization: Experience building efficient HPC-ready container images using Singularity, Podman or similar. Data Engineering: Experience with data engineering techniques for developing AI pipelines. Linux: Strong Linux/Unix skills and bash scripting capabilities.<br>Technical Skills - Desired Experience with Cray EX supercomputers with NVIDIA GPUs. Experience with Kubeflow pipelines and Kubeflow Training Operator. Experience with distributed inference frameworks (NVIDIA Triton, NIM, SGLang, llama.cpp, llm-d, LLMcache). Knowledge of security vulnerability inspection in software libraries, AI models, datasets, and pipelines. Experience with software supply chain tools (JFrog, Nexus, Trivy, Cloudsmith). Experience with data management on S3-compatible object storage at scale. Experience with high-performance distributed filesystems (Lustre, Weka IO, VAST Data). Proficiency with NVIDIA Nsight and Compute for profiling AI workloads on GPUs. Experience developing CI/CD pipelines using Git Lab, Travis, Circle CI, or similar tools. Experience with software build tools (autoconf, CMake, scons, SPACK, Easy Build, Conda, Pip).<br>Soft Skills Strong problem-solving and analytical abilities. Excellent written and verbal communication skills in English. Customer service mindset with patience for supporting diverse skill levels. Ability to work independently and as part of a collaborative team. Strong documentation and knowledge-sharing practices. Cultural sensitivity for working in an international environment.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Science Lead based in Saudi Arabia.<br><br>This is a strategic technical leadership opportunity within a high-impact AI program operating in a highly regulated environment.<br><br>You will lead the architecture and evolution of machine learning and Gen AI capabilities supporting automated regulatory validation workflows.<br><br>The role combines hands-on expertise in LLM systems with architectural ownership, evaluation, and productionisation.<br><br>You will design sophisticated RAG pipelines and retrieval strategies while ensuring AI workflows are reliable, reproducible, explainable, and traceable.<br><br>Working across data science, engineering, product, and compliance teams, you will influence key technical decisions and drive the platform toward enterprise scale.<br><br>The position offers the opportunity to shape production-grade AI systems where quality, governance, and measurable performance are critical.<br><br>It is well suited to an experienced data science leader who enjoys solving complex problems and turning advanced AI capabilities into robust business solutions.<br><br>Accountabilities<br><br>Design, evolve, and oversee AI and machine learning architecture supporting automated compliance validation workflows. Design and optimize LLM-powered retrieval and validation pipelines, including Retrieval Augmented Generation (RAG) architectures. Establish evaluation frameworks, benchmarking approaches, and continuous improvement processes to measure and enhance AI system performance. Develop explainability, traceability, and validation mechanisms that support regulatory and compliance requirements. Collaborate closely with ML Engineers and Backend Engineers to productionize AI components and integrate them into reliable enterprise systems. Drive technical decisions around embeddings, vector databases, retrieval strategies, and related AI infrastructure. Ensure AI workflows are reproducible, testable, maintainable, and aligned with high-quality engineering standards. Support the scaling of AI capabilities from individual workflows into a robust, enterprise-grade platform. Lead technical discussions and align architectural decisions across product, engineering, data science, and compliance stakeholders. Identify opportunities to improve system reliability, model performance, scalability, and operational effectiveness.<br><br>Requirements<br><br>Strong hands-on experience in Data Science, applied Machine Learning, and production AI systems. Proven experience designing and deploying LLM-based solutions in production environments. Practical experience with Retrieval Augmented Generation architectures and LLM-driven retrieval workflows. Experience working with vector databases, embeddings, and embedding-generation pipelines. Strong Python programming skills and familiarity with modern machine learning and AI frameworks. Demonstrated experience designing model evaluation, benchmarking, and validation frameworks. Understanding of production-grade AI architecture, with an ability to move beyond proof-of-concept implementations. Experience operating in regulated, compliance-heavy, or otherwise highly governed environments. Strong ownership mindset, architectural judgment, and confidence making and influencing technical decisions. Excellent communication and collaboration skills, with the ability to work effectively across technical and non-technical teams. Experience with pharmaceutical, healthcare, or other regulated industries is a strong advantage. Familiarity with explainable AI methodologies, document intelligence, or NLP-heavy pipelines is beneficial. Experience building enterprise-scale AI platforms is highly desirable.<br><br>Benefits<br><br>Competitive salary package. Opportunity to work on international, high-impact AI initiatives within a regulated enterprise environment. Comprehensive healthcare coverage. Long-term B2B contract with a stable project pipeline. Fully remote working model. Opportunity to work with modern LLM, RAG, machine learning, and AI platform technologies. Significant technical ownership and influence over enterprise AI architecture and delivery.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, Quality Engineering based in Saudi Arabia.<br><br>Join a high-impact engineering team focused on building the quality infrastructure that enables developers to deliver reliable software at scale. In this role, you will design and enhance automated testing frameworks, CI/CD pipelines, and engineering tools that improve software quality across a modern cloud-native platform. You will leverage AI-driven technologies to strengthen test automation, accelerate regression detection, and continuously improve engineering efficiency. Working closely with cross-functional teams, you will help establish quality as a core engineering discipline while contributing hands-on to software development. This is an excellent opportunity for an experienced engineer who enjoys solving complex technical challenges in a fast-paced, globally distributed environment with a strong culture of innovation and ownership.<br><br>Accountabilities<br><br>Design, develop, and maintain scalable automated testing frameworks supporting REST and g RPC APIs. Build and improve AI-assisted quality engineering solutions to automate test generation, strengthen regression coverage, and convert production incidents into long-term automated test cases. Develop, maintain, and optimize CI/CD pipelines to improve software delivery speed and reliability. Plan and execute performance, load, stress, and scalability testing to validate platform resilience under increasing demand. Implement chaos engineering practices by designing fault-injection experiments that proactively identify system weaknesses. Standardize quality engineering tools, frameworks, and development workflows to improve the developer experience across engineering teams. Collaborate closely with software engineers to increase test coverage, diagnose production issues, and deliver robust technical solutions. Mentor fellow engineers and promote engineering best practices focused on quality, automation, and continuous improvement.<br><br>Requirements<br><br>5+ years of experience as a Software Engineer building and supporting production-grade software systems. At least 1 year of professional experience developing applications in Go, with strong proficiency in strongly typed programming languages. Practical experience using AI-powered development tools and large language models (LLMs) to enhance software engineering and testing workflows. Proven expertise designing and maintaining CI/CD pipelines, preferably using Git Hub Actions, Google Cloud Build, or similar platforms. Strong experience developing automated testing frameworks for distributed or microservices-based architectures. Solid knowledge of Kubernetes, Helm, containerization, and cloud-native deployment best practices. Experience working in startup or fast-paced environments with evolving priorities and a high level of ownership. Ability to independently manage projects from requirements gathering through implementation, deployment, monitoring, and optimization. Strong analytical, troubleshooting, communication, and collaboration skills. Experience with Python, Type Script, Docker, Terraform, Argo CD, Google Cloud Platform, Google Kubernetes Engine, Kafka, Redpanda, chaos engineering tools, or performance testing frameworks such as k6 and ghz would be considered an advantage.<br><br>Benefits<br><br>Competitive salary. Equity or stock option program. Comprehensive health benefits. One-time home office setup allowance of USD $500. Monthly remote work stipend of USD $150. Fully remote work environment with global collaboration. Opportunity to work with modern cloud-native technologies, AI-powered engineering practices, and large-scale distributed systems. Inclusive and collaborative culture that values continuous learning, ownership, and innovation.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Position Summary We are seeking a highly motivated and skilled HPC Computational Scientist to join our team. The successful candidate will be responsible for providing expert support in compiling, running, debugging, and optimizing internally developed codes on high-performance computing (HPC) systems, like Shaheen III CPUs and GPUs partitions. Provide a broad range of support for users of laboratory systems and their software applications. This includes but is not limited to:Directly supporting research and enablement activities on KSL HPC systems in computational science and engineering, big data analysis, artificial intelligence/machine learning, or any related field. Providing expertise in the area of HPC applications and libraries installation, porting, and performance tuning and optimization to run efficiently on CPU and GPU architectures Developing, delivering, updating, and supporting all aspects of training, user documentation, and internal documentation. HPC applications and software tools development as necessary to support enablement activities of research conducted by users on the KSL HPC clusters and supercomputer. Working closely with end users (faculty, researchers, collaboration partners, and industrial partners) to meet their research objectives in collaborative research projects.<br>Major Responsibilities – include but are not limited to - Support enablement activities for research work in computational science and engineering and data analysis including but not limited to:Provide timely and useful user support via telephone, walk-in, email, and ticketing system submissions for all types of inquiries. Maintain high customer service standards in dealing with and responding to user issues and questions. Installation, porting and tuning of high performance applications, tools and data analysis software stack Maintain scientific, technical and professional currency through collaboration, practice, training, conferences, independent learning, and other means. Maintain a broad knowledge of state-of-the-art computer technology, equipment, and systems and support benchmarking activities in the lab for future procurements. Review and prepare documentation for systems, tests and installation of software Provides individual and/or group instruction and training on topics of interest to the user community. Develop software tools and parallel application libraries as necessary to support the research projects in the cluster systems and subsystems. Develop software application benchmarks for periodic upgrades of laboratory systems. Articulate and pursue research activities aligned with the laboratory and with personal strengths and interests; pursue co-authorship of papers/presentations as appropriate; engage in scientific communication and outreach.<br>Competencies<br>Expertise in using or supporting computational science and engineering, data analysis, and artificial intelligence applications and libraries in different HPC environments. Demonstrated ability to support research activities in an HPC environment Demonstrated ability to work successfully in a highly collaborative research environment Proficiency in programming HPC applications and tools (e.g. Fortran, C/C++, Python, MPI, Open MP, CUDA, Open ACC, etc.). Track record of publications in computational science and engineering and data analysis journals and conferences Strong team player with a track record of initiative and responsiveness. Excellent analytical, problem solving and decision-making skills Creative and innovative individual Organizational understanding and global thinking Flexible and delivers high-quality results within deadlines Planning and organizational skills Has knowledge of commonly used concepts, practices, and procedures within the related field of expertise Knowledge of project management principles and practices Ability to work in teams and achieve results. The ability to handle multiple projects simultaneously. Ability to work effectively in multi-cultural environment Demonstrated ability to prepare written and to give oral reports in English Strong verbal and written communication skills in English<br>Qualifications Education requirement, minimum: Ph. D. in computer science, computational science and engineering or any closely related discipline.<br>Experience Experience requirement, minimum: Five years’s experience using and supporting large scale computing platforms and related subsystems. Some relevant experience in computational science and engineering or any closely related discipline Experience in parallel computing and with storage systems Previous research experience in one or more of the following areas is also required:Performance modeling including simulation or analytical modeling or tuning of HPC codes I/O, Data management, Data Compression Emerging architectures including heterogeneous computing, memory systems;Node-level programming environments with experience in CUDA, Open CL, Open ACC/Open MP compiler directives;Distributed system programming models like MPI, one-sided asynchronous programming models Experience with computing at scale is desired (for example, computing on a system of the Top500 list).

Tech for People Unlocks the Future<br><br>At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.<br><br>With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.<br><br>Devoteam Culture & Values:<br><br>True innovation is born from a powerful culture, fused with meaningful values.<br><br>Culture:<br><br>Fair and courageous Everyone is treated fairly – this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it. Ambition and results Ambition is nurtured at every step – this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint. Learning and innovating Curiosity and learning are at our core – this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence. Caring and sharing A caring attitude is infused into our culture – this encourages sharing. We believe in the power of teams, we promote support and collaboration. At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers, knowing that success is the result of collaboration. <br><br><br>Because alone, we go faster – but together, we go further.<br><br>Values:<br><br>Respect Frankness Passion<br><br><br>To know more about us, please visit: www.devoteam.com<br><br>Level:<br><br>Consultant level<br><br>Business Unit: <br><br>Google Cloud<br><br>Join Devoteam and be part of a dynamic, innovative team driving technology solutions that make a real impact<br><br>Job Description<br><br>The Cloud Consultant is responsible for building, deploying, and managing cloud infrastructure and services. You work hands-on to implement secure, scalable, and automated cloud solutions that meet performance and availability goals. You support cloud operations, improve infrastructure through automation, and troubleshoot issues. This role demands strong technical execution, infrastructure knowledge, and cloud platform skills, serving as a core executor for hybrid and multi-cloud environments.<br><br>Roles and responsibilities: <br><br>Assist in the design and implementation of secure, scalable, and resilient cloud infrastructure solutions, building standard landing zones. Support the development of automation scripts and deploy Infrastructure as Code (IaC) using Terraform. Participate in infrastructure assessments using automated discovery tools and assist in planning and executing cloud migrations. Manage routine cloud operations, including automated patching, backup and restore operations, and resolving basic to intermediate troubleshooting issues. Handle incidents, problems, and changes through integrated ITSM workflows. Help implement cloud governance, manage Identity Lifecycle tasks (RBAC/ABAC policies), and enforce compliance standards. Contribute to cloud resource optimization by applying Fin Ops best practices and performance tuning. Execute basic Disaster Recovery (DR) strategies, drills, and validation checkpoints. Support customer workshops, solution demos, and technical documentation during pre-sales engagements. Maintain accurate documentation of cloud environments, infrastructure changes, and standard operating procedures<br><br><br>Qualifications<br><br>Bachelor’s degree in Computer Science, Information Technology, or a related field. 2–5 years of experience in cloud infrastructure deployment and support. Experience with at least one major public cloud platform, with a strong focus on Google Cloud Platform (GCP). Exposure to Infrastructure as Code (Terraform). Understanding of core cloud concepts such as virtualization, containers, networking, IAM, and security. Familiarity with tools used for cloud assessment, migration, and monitoring. Hands-on experience with basic cloud security controls and compliance practices. Strong problem-solving skills and the ability to work independently or within a team. Relevant Associate-level certification (e.g., Google Cloud Associate Cloud Engineer) <br><br><br>Preferred Qualifications:<br><br>Hands-on experience with specific Google Cloud Platform (GCP) services such as Compute Engine, VPC, IAM, Cloud Storage, Cloud SQL, and GKE. Experience with VMware or hybrid cloud environments and integration with on-premises infrastructure (e.g., using VPNs, Interconnect). Experience participating in cloud migration projects. Interest in cloud-native architectures and application modernization Exposure to CI/CD tools like Git Lab CI/CD, Jenkins, or Git Hub Actions for infrastructure automation. Experience with monitoring and logging tools such as Google Cloud Operations Suite. Basic scripting skills in Python, Power Shell, or Bash. Strong communication skills and ability to interact with clients, both technical and non-technical. Experience working in agile project environments and using tools like Jira or Confluence.

Job Purpose:To drive the delivery of a risk-based Technology Audit portfolio, providing strategic assurance and insights that strengthen IT governance, controls, and business performance. The role leads complex technology audit engagements standalone or integrated with business audits, develops high-performing teams, fosters collaboration, and ensures the Internal Audit function adds measurable value to organizational objectives.<br>Key Accountabilities:<br>Technology Audit and Advisory Delivery<br>Supports with the technology component of a risk-based IA plan by coordinating and managing the delivery of the IT risk assessment and annual planning activities. This involves proposing audit engagements for inclusion in IA plans, including the scope, timing, and required resources. Acts as the Engagement Manager* for multiple or large integrated audit engagements concerning technology audit areas within the IA Department. Responsible for the day-to-day project management of the engagements across planning, fieldwork and reporting, ensuring delivery of high-quality assurance and advice, on time and within allocated budget. Establishes and maintains regular coordination between the IA Director (or Executive Director), management and the engagement team on theprogress of engagements, ensuring corrective actions are taken to address any identified issues impacting the engagement plan. Regularly monitors and reports on the progress of management action plans, facilitating the effective and timely implementation of management action plans. This involves guiding action owners (where necessary), challenging revised due dates, escalating overdue actions and managing the verification of closed actions. Supports and coach engagement teams throughout the engagement lifecycle, to facilitate the correct application of the IA methodology, and enhances the teams’ functional and leadership competencies. Supports the VP, Internal, IA Director (or Executive Director) with the delivery of their role, as delegated. Ensure delivery of high-impact, risk-based audits that enhance control effectiveness and strengthen control environment and organizational governance.<br>IT Governance Framework, ERP and Data Analytics Evaluate the design and effectiveness of IT governance frameworks (e.g., COBIT, ISO 27001, ITIL etc.), ensuring alignment with organizational policies, regulatory expectations, and risk‑management objectives. Assess ERP environments (SAP S/4 Hana etc.) for configuration adequacy, access controls, change‑management practices, and process integrity across key business cycles. Perform technology risk assessments to identify control gaps, security vulnerabilities, and compliance issues within core IT processes and enterprise applications. Leverage data analytics tools (e.g., SQL, Power BI, Python) to perform automated testing, trend analysis, anomaly detection, and continuous-monitoring routines. Develop sound audit findings and recommendations that strengthen IT controls, improve system performance, and enhance data reliability, while collaborating with stakeholders across IT, finance, and operations.<br>Leadership Plans, manages, and reviews team performance to monitor achievement of key performance indicators. Provides timely feedback, coaching, and development to strengthen team capabilities. Proposes and implements initiatives aligned with the IA strategic direction. Leads or supports IA strategic initiatives and advocates for positive change in work practices. Build a high-performing, future-ready IA team aligned with strategic business goals.<br>Quality & Operations Ensures QAIP feedback is addressed effectively to enhance engagement quality and team capability. Promotes adherence to quality standards across all IA activities. Supports continuous improvement by identifying and implementing process enhancements and best practices. Drive culture of continuous improvement and excellence in audit execution.<br>Business Partnering Builds and maintains strong client relationships to stay informed and aligned with evolving business needs. Develops cross-functional relationships across TAQA to enable knowledge sharing within IA and across TAQA. Supports Directors at portfolio-level reporting and insights, as required. Strengthen IA’s role as a trusted advisor and strategic business partner.<br>Collaboration & IA Strategy Shares knowledge and expertise across the IA team to enhance capability and consistency. Collaborates with peers and other IA teams to optimize resource use and deliver quality outcomes. Constructively challenges peers to enhance performance Recognize and celebrate collaborative behavior. Leverages IA Operations support to minimize administrative workload and improve efficiency. Foster collaborative, high-performing culture that drives collective IA team success. Actively support in strategic initiatives implementation ensuring quality and timely completion of assigned tasks.<br>Policies and Procedures Undertake all audit activities in line with IA’s policies and procedures. Ensure performed audit work comply with the pertinent internal audit P&Ps and Global IIA Standards. Ensures consistent compliance for all assigned audit activities, reinforcing the credibility and reliability of the Internal Audit Function.<br>Education Bachelor's degree in a relevant field. Professional certification: Certified Information Systems Auditor (CISA),Certified Risk and Information System Controls (CRISC) Certified Internal Auditor (CIA)<br>Experience8-10+ years of experience in leading technology audits or advisory in related areas. 3 to 4 years of leading audit teams.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Engineer based in Saudi Arabia.<br><br>This role offers the opportunity to build and improve AI-powered products by developing machine learning solutions that address real-world challenges.<br><br>As a Machine Learning Engineer, you will work with complex datasets, design and optimize models, and help bring intelligent solutions into production.<br><br>You will collaborate with software engineers and technical teams in a fast-moving, remote environment focused on innovation.<br><br>The position combines data analysis, experimentation, software development, and machine learning engineering to create impactful products.<br><br>You will have the opportunity to work on challenging technical problems while continuously expanding your expertise in emerging AI technologies.<br><br>This role is ideal for a curious and motivated engineer who enjoys building practical AI applications and solving meaningful problems.<br><br>Accountabilities<br><br>The Machine Learning Engineer will contribute to the development, deployment, and improvement of AI-driven solutions. The role requires strong technical skills, analytical thinking, and a passion for building scalable machine learning systems. Key responsibilities include:<br><br>Develop, train, test, and evaluate machine learning models to support product objectives. Prepare, clean, analyze, and manage datasets used for model training and validation. Improve model performance through experimentation, optimization, and continuous testing. Deploy, maintain, and monitor machine learning models in production environments. Collaborate with software engineers to integrate machine learning capabilities into products and applications. Track model performance and identify opportunities to improve accuracy, reliability, and efficiency. Apply modern machine learning techniques and stay informed about emerging technologies and best practices. Write clean, maintainable, and efficient code to support scalable AI solutions. Contribute to technical discussions and help solve complex engineering challenges. Participate in the continuous improvement of machine learning workflows and development processes.<br><br>Requirements<br><br>The ideal candidate is a technically curious and motivated professional with a foundation in machine learning, software engineering, or data science. Required qualifications and skills include:<br><br>1+ year of experience in machine learning, software engineering, data science, or a related technical field, or strong personal projects demonstrating machine learning capabilities. Basic understanding of machine learning concepts, algorithms, and model development processes. Strong programming skills in Python. Familiarity with machine learning frameworks and libraries such as PyTorch, Tensor Flow, or scikit-learn. Comfortable working with data and writing clean, maintainable code. Experience using Git and version control practices. Strong problem-solving skills with the ability to analyze technical challenges. Good written and verbal English communication skills. Passion for learning, experimenting, and building AI-powered solutions. Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field is a plus but not mandatory. Experience with large language models (LLMs) is an advantage. Familiarity with cloud platforms such as AWS, GCP, or Azure is beneficial. Knowledge of SQL and experience deploying machine learning models are considered advantages. Personal AI, machine learning projects, or open-source contributions are highly valued.<br><br>Benefits<br><br>The role offers a flexible remote environment and the opportunity to contribute to innovative AI solutions while growing professionally. Benefits include:<br><br>Fully remote work opportunity. Flexible working environment with autonomy and work-life balance. Opportunity to build and improve real-world AI products. Exposure to challenging technical problems and modern machine learning technologies. Collaborative and fast-moving team environment. Opportunities for professional growth and continuous learning. Competitive compensation based on experience. Opportunity to contribute to impactful machine learning projects from anywhere.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Mindrift is looking for skilled Bot Developers (Whats App Business API, Telegram Bot API, Discord API) to join the Tendem project (https://tendem.ai/) and build conversational bots and messaging-platform integrations within our hybrid AI + human environment. In this role, as an AI Pilot - that's how we refer to this position at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide bot engineering expertise, conversational design judgment, and quality control to ensure bots are reliable, useful, and ready for real users. This part-time remote opportunity is ideal for professionals with hands-on experience building messaging bots, working with platform APIs and webhooks, and implementing conversational logic.<br><br>What We Do<br><br>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br><br>About The Role<br><br>This is a freelance role for a Tendem project. As a Bot Developer, you'll design, build, and refine messaging bots for one or more messaging platforms, including Whats App, Telegram, Discord, Slack, and similar platforms — for use cases such as customer service, appointment booking, order taking, content delivery, moderation, and automated notifications.<br><br>Key Responsibilities<br><br>Build bots for one or more messaging platforms, such as Whats App (Business API / Cloud API), Telegram (Bot API), Discord, Slack and similar messaging platforms Design and implement conversational flows, dialogue state, and fallback handling Integrate bots with LLMs (Open AI, Anthropic, or similar) for natural language responses where appropriate Connect bots to backend services, databases, CRMs, and third-party APIs (booking systems, payment, content sources) Handle webhooks, rate limits, and platform-specific message formats (interactive messages, buttons, media, templates) Evaluate AI-generated bot code and refactor it for correctness, reliability, and graceful error handling Implement logging, monitoring, and recovery so bots stay healthy in production<br><br>Requirements And Benefits<br><br>Educational qualifications<br><br>At least 3 years of relevant experience backend, integration, automation, or bot development experience (required) Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus<br><br>Academic and/or Professional Experience<br><br>Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows. We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and refine AI-assisted output into stable, user-friendly experiences. Strong problem-solving skills, attention to detail, and the ability to work independently are essential.<br><br>Technical Skills (Essential)<br><br>At least 1 year of hands-on experience building bots for at least one major messaging platforms (Whats App, Telegram, Discord, Slack, or similar) is required Strong command of Python or Node.js for backend bot logic Solid experience with REST APIs, webhooks, OAuth, and async request handling Experience with relational or NoSQL databases for storing conversation state and user data Familiarity with LLM APIs (Open AI, Anthropic) and prompt design for conversational use is a strong plus Understanding of platform-specific limits, message templates, and approval flows (e.g., Whats App template messages) Experience with hosting and deployment (Docker, serverless, VPS, or Paa S)<br><br>Additional Requirements<br><br>Strong attention to detail and commitment to bot reliability — no silent failures, no broken flows Self-directed work ethic with the ability to design and ship complete bots independently Portfolio or examples of bots you've built (required) English proficiency: Upper-intermediate (B2) or above (required)<br><br>Project time expectations <br><br>For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.<br><br>Compensation<br><br>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.<br><br>Why this freelance opportunity might be a great fit for you?<br><br>Work fully remote on your own schedule with just a laptop and stable internet connection Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field Participate in performance-based bonus programs that reward high-quality work and consistent delivery

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Date Posted:</b></p><br><br>2026-07-21&amp;#xa;&amp;#xa;<p><b>Country:</b></p><br><br>United States of America&amp;#xa;&amp;#xa;<p><b>Location:</b></p><br><br>US-AL-HUNTSVILLE-382 ~ 420 Jan Davis Dr ~ DAVIS 382&amp;#xa;&amp;#xa;<p><b>Position Role Type:</b></p><br><br>Onsite&amp;#xa;&amp;#xa;<p><b><span>U.S. Citizen, U.S. Person, or Immigration Status Requirements:</span> </b></p><br><br>The ability to obtain and maintain a U.S. government issued security clearance is required.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance&amp;#xa;&amp;#xa;<p><b>Security Clearance Type: </b></p><br><br>DoD Clearance: Secret&amp;#xa;&amp;#xa;<p><b>Security Clearance Status: </b></p><br><br>Active and existing security clearance required after day 1<br><br><p>At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.</p><br><br><br><p>Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.</p><br><br><br><p>Help ensure mission-critical avionics software performs flawlessly in the real world. As a Senior Systems Engineer supporting communications avionics systems, you’ll play a key role in integrating, testing, and verifying complex software solutions that support aerospace and defense applications. You’ll work within a highly collaborative Agile team, helping develop and translate requirements into robust test strategies while supporting system integration and verification efforts. If you enjoy solving complex technical challenges, improving engineering processes, and working across disciplines to deliver reliable systems, this role offers an opportunity to make a meaningful impact.&nbsp;</p><br><br><br><p><b>What You Will Do:</b></p><br><br><ul><li>You will support systems engineering activities within an Agile development environment, helping develop and translate system and software requirements into effective test and verification strategies.&nbsp;</li><li>You will develop automated and semi-automated test scripts using Python to validate software functionality and system performance.&nbsp;</li><li>You will verify software builds in integrated lab environments and support formal verification events for major program deliveries.&nbsp;</li><li>You will collaborate with cross-functional engineering teams to refine system requirements and design solutions that meet customer needs.&nbsp;</li><li>You will present technical progress and status updates to Agile team members and engineering leadership.&nbsp;</li><li>You will contribute to improving test development processes, tools, and best practices while maintaining compliance with company standards.&nbsp;</li><li>You will help navigate through the bids &amp; pursuits, adhering to Collins Processes.&nbsp;</li><li>Mentor younger engineers through Systems Engineering tasks.&nbsp;</li><li>10% travel as needed.</li></ul><br><p><b>What You Will Learn:</b></p><br><br><ul><li>You will gain experience integrating Line Replaceable Unit (LRU) software supporting mission sensor and weapons avionics systems.&nbsp;</li><li>You will deepen your expertise across multiple phases of the aerospace systems lifecycle within a collaborative Agile environment.&nbsp;</li><li>You will strengthen your systems engineering skills by supporting complex software verification and integration efforts.&nbsp;</li><li>You will have the ability to grow into Product Owner, Scrum Master, and/or Cost Account Manager type roles if desired<b>.</b></li></ul><br><p><b>Qualifications You Must Have:</b></p><br><br><ul><li>Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 5 years prior relevant experience <b><u>or</u> </b>an Advanced Degree in a related field and minimum 3 years of experience.</li><li>Experience working within Agile development teams.&nbsp;</li><li>Experience developing software requirements.&nbsp;</li><li>Experience with test automation using Python.&nbsp;</li><li>Experience with engineering tools such as DOORS, PREP, TLBD, ALM, JIRA, Enterprise Architect, or similar.</li></ul><br><p><b>Qualifications We Prefer:</b></p><br><br><ul><li>Experience (military or civil aircraft) in avionics systems.&nbsp;</li><li>Avionics integration and lab test experience.&nbsp;</li><li>Embedded software integration experience.&nbsp;</li><li>Working knowledge / understanding of data busses and protocols (Ethernet, MIL-STD-1553B, and ARINC-429) </li><li>Experience integrating Identification Friend or Foe (IFF) or surveillance equipment.&nbsp;</li><li>Product Owner, Scrum Master, and/or Cost Account Manager experience in an Agile environment.</li></ul><br><p><b>What We Offer:</b></p><br><br><p>Benefits:&nbsp;</p><br><br><p>Some of our competitive benefits package includes: </p><br><br><ul><li>Medical, dental, and vision insurance </li></ul><ul><li>Three weeks of vacation for newly hired employees </li></ul><ul><li>Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option </li></ul><ul><li>Tuition reimbursement program </li></ul><ul><li>Student Loan Repayment Program </li></ul><ul><li>Life insurance and disability coverage </li></ul><ul><li>Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection </li></ul><ul><li>Birth, adoption, parental leave benefits </li></ul><ul><li>Ovia Health, fertility, and family planning </li></ul><ul><li>Adoption Assistance </li></ul><ul><li>Autism Benefit </li></ul><ul><li>Employee Assistance Plan, including up to 10 free counseling sessions </li></ul><ul><li>Healthy You Incentives, wellness rewards program </li></ul><ul><li>Doctor on Demand, virtual doctor visits </li></ul><ul><li>Bright Horizons, child and elder care services </li></ul><ul><li>Teladoc Medical Experts, second opinion program </li></ul><ul><li> And more! </li></ul><br><p>This role may be eligible for relocation.</p><br><br><br><p><b>Learn More &amp; Apply Now!</b></p><br><br><br><p>Collins Aerospace makes modern flight possible. Of course, that wouldn’t be possible without the capabilities and technologies of our organization, as well as our engineers – a highly skilled, accomplished network that spans more than 180 sites, 24 countries and 6 Strategic Business Units (SBUs).</p><br><br><br><p>Our industry-leading experts are setting the standards for the aerospace industry and paving the way for the future. But as new challenges present themselves, we need fresh, creative and motivated minds to overcome these hurdles, help us break barriers and achieve new levels of innovation. Do you have what it takes to join a global organization that doesn’t shy away from big opportunities? If so, we invite you to join our ranks and create the next generation of aerospace technologies.</p><br><br><br><p>Together, we will nurture an engineering culture that values intellectual curiosity, risk takers and integrity. A place where we will challenge ourselves, our teams, and the status quo and where we will work to find a way – the right way – to achieve what others can only dream of.</p><br><br><br><p><b>Onsite</b>: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.&nbsp;</p><br><br><br><p>At Collins, the paths we pave together lead to limitless possibility. And the bonds we form – with our customers and with each other -- propel us all higher, again and again. </p><br><br><br><p>Apply now and be part of the team that’s redefining aerospace, every day.&nbsp;</p><br><br><br><br><br><p><i><b>As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend&nbsp;select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.</b></i></p><br><br><br>The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.<br><br><br>Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.<br><br>Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.<br><br>This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.<br><br>RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.<br><br><p><span><i>RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.</i> </span></p><br><br><br><br><p><b>Privacy Policy and Terms:</b></p><br><br><p><span>Click on this </span>link<span> to read the Policy and Terms</span></p><br><br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Junior Data Engineer supports the development, maintenance, and continuous improvement of Starlinks' data platform by building and maintaining reliable data pipelines that enable business reporting and data-driven decision-making across logistics and warehousing operations. Working closely with experienced Data Engineers, the role is responsible for onboarding new source systems, developing and supporting Bronze-to-gold data pipelines, and contributing to the ongoing enhancement of an established data architecture. Through hands-on delivery, collaboration, mentorship, and code reviews, the role helps ensure the availability of high-quality, scalable, and reliable data solutions while building technical expertise and engineering best practices. Main Job Responsibilities</p><p>Build and maintain ETL/ELT pipelines to ingest data from operational source systems (APIs, file drops, databases) into the Microsoft Fabric data platform. Transform raw data through bronze, silver, and gold layers following the established medallion architecture. Write, optimize, and maintain SQL and Python/PySpark code for data transformation and processing. Apply data quality checks, validation rules, and change detection patterns across ingestion pipelines. Follow and contribute to team standards for naming conventions, schema design, documentation, and Git workflows. Support pipeline monitoring, alert configuration, and issue resolution using Microsoft Fabric Activator. Assist with onboarding new data sources into the enterprise data platform. Troubleshoot and resolve data pipeline failures, performance issues, and data quality incidents. Collaborate with Data Engineers, Data Analysts, and business stakeholders to understand data requirements and deliver reliable data solutions. Participate in code reviews, testing, and deployment activities to ensure high-quality, maintainable solutions. Document data pipelines, source systems, transformation logic, and technical processes to support ongoing maintenance and knowledge sharing. Support the continuous improvement of data engineering processes, automation, and platform performance. Ensure data solutions comply with organisational data governance, security, and engineering best practices. Participate in Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives, contributing to team delivery and continuous improvement.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in computer science, Information Systems, Engineering, or a related field Working knowledge of SQL, you can write queries, joins, and transformations without needing to look up syntax Basic understanding of data pipeline concepts ingestion, transformation, loading Familiarity with at least one cloud data platform (Azure, AWS, or GCP) Willingness to learn Microsoft Fabric hands-on exposure or certification is a strong plus, not a requirement Good communication skills you ask questions when blocked rather than making assumptions</p><p></p></section>

About the Role<br>The AI/ML Support Analyst will be a key member of the KAUST Supercomputing Lab’s (KSL) AI/ML Support Team, supporting the delivery of AI research services to KAUST's diverse research community. Working under the AI/ML Support Team Lead, this role focuses on developing and optimizing Generative AI models, maintaining computational benchmarks, and providing expert consultation to researchers across multiple scientific domains, including Climate & Weather, Bioinformatics, CFD, NLP, and multimodal AI. The analyst will help bridge the gap between cutting-edge computational infrastructure and the diverse needs of the research community, contributing to governance, technical enablement, and community development initiatives.<br>Responsibilities<br>Generative AI Development and Consulting Providing timely and useful user support via telephone, walk-in, email, and ticketing system submissions for all types of inquiries. Maintain high customer service standards in dealing with and responding to user issues and questions. Develop and consult on large-scale Generative AI model training on domain-specific datasets across research areas including Climate & Weather, Bioinformatics, Computational Fluid Dynamics (CFD), NLP, and multimodal AI. Support researchers in fine-tuning foundation models on domain-specific datasets using advanced optimization techniques. Develop data engineering pipelines to support AI research workflows. Design and implement efficient AI workflows optimized for KSL's high-performance computing environment. Build and maintain secure, OCI-compliant, HPC-ready container images using Singularity, Podman, or similar. Develop complex workflows using SLURM and Kubernetes for distributed training and inference.<br>Governance and Compliance Support Conduct computational readiness reviews for AI research projects. Assist in AI model and artifact control reviews to ensure compliance with institutional standards. Support researchers in designing secure, compliant, and performant workflows. Provide expert consultation to researchers on efficient utilization of AI resources and best practices. Support the implementation of usage monitoring and reporting systems. Ensure user workflows comply with KSL security policies and best practices.<br>Benchmarking and Quality Assurance Develop and maintain computational benchmarks for AI workloads on KSL systems. Create and maintain regression testing workloads to stress test system functionality. Support performance debugging and optimization activities for research workloads. Contribute to technology evaluation and benchmarking exercises for future infrastructure investments. Perform benchmarking of new hardware and software configurations.<br>Training and Documentation Create comprehensive training materials for end-users on KSL’s HPC systems hosting AI workloads and tools. Develop and maintain high-quality technical documentation. Support the delivery of workshops on distributed training, fine-tuning, and inference optimization. Contribute to knowledge transfer initiatives within the KAUST research community. Provide one-on-one consultation to researchers on efficient use of computational resources.<br>Qualifications<br>Bachelor's or master’s degree in computer science, Data Science, Computational Science, Artificial Intelligence, or a related field. Strong academic foundation in machine learning, deep learning, and AI fundamentals.<br>Required Skills<br>Technical Skills - Essential Programming: Proficiency in Python; experience with R, Julia, Rust or C/C++ is a plus. AI/ML Frameworks: Strong expertise in PyTorch and/or Tensor Flow, JAX or similar. Generative AI: Experience with foundation model development and fine-tuning techniques. HPC Systems: Experience developing complex workflows using SLURM and/or Kubernetes. Containerization: Experience building efficient HPC-ready container images using Singularity, Podman or similar. Data Engineering: Experience with data engineering techniques for developing AI pipelines. Linux: Strong Linux/Unix skills and bash scripting capabilities.<br>Technical Skills - Desired Experience with Cray EX supercomputers with NVIDIA GPUs. Experience with Kubeflow pipelines and Kubeflow Training Operator. Experience with distributed inference frameworks (NVIDIA Triton, NIM, SGLang, llama.cpp, llm-d, LLMcache). Knowledge of security vulnerability inspection in software libraries, AI models, datasets, and pipelines. Experience with software supply chain tools (JFrog, Nexus, Trivy, Cloudsmith). Experience with data management on S3-compatible object storage at scale. Experience with high-performance distributed filesystems (Lustre, Weka IO, VAST Data). Proficiency with NVIDIA Nsight and Compute for profiling AI workloads on GPUs. Experience developing CI/CD pipelines using Git Lab, Travis, Circle CI, or similar tools. Experience with software build tools (autoconf, CMake, scons, SPACK, Easy Build, Conda, Pip).<br>Soft Skills Strong problem-solving and analytical abilities. Excellent written and verbal communication skills in English. Customer service mindset with patience for supporting diverse skill levels. Ability to work independently and as part of a collaborative team. Strong documentation and knowledge-sharing practices. Cultural sensitivity for working in an international environment.