Python Developer Jobs in Saudi

<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>

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.

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.

Introduction The objective is to design and select a suitable monitoring system based on client needs and asset caregory, evaluate, and diagnose the electrical systems and equipment to ensure optimal performance, predict maintenance needs, and prevent unplanned outages. Objectives To perform site engineering & data collection To perform Simulation Modelling To perform testing, commissioning & support on documentation Participate in knowledge transfer & client interface<br>Scope of Services Site Engineering & Data Collection Participate in plant/site visits and surveys to collect performance curves, heat & mass balance diagrams, P&IDs, and other technical design inputs required for process and performance modeling work. Support pre-visit remote data collection, including access to process historians, tag databases, and DCS/instrumentation data. Assist in technical assessment and analysis of main plant equipment and performance curves — rotating equipment, heat exchangers, and other process units relevant to the facility type. Support technical assessment of process historian/data infrastructure and contribute to site/plant readiness reporting. Coordinate on-site sessions with client Instrumentation & Control (I&C) and Operations Engineering teams during data collection and technical assessment. Process & Performance Modeling Support Support the build-out and configuration of first-principles / thermodynamic performance models, working under the guidance of senior process engineers and technology-partner specialists. Assist with calculating key performance indicators, efficiency and heat-rate metrics, and other performance benchmarks relevant to the assigned facility. Support model installation, configuration, and integration with client data and reporting systems. Testing, Commissioning & Documentation Support Factory/Site Acceptance Testing, integrated performance testing, and model/system acceptance testing, including associated documentation. Maintain technical issue logs and contribute to regular project status reporting to Project Managers and Technical Leads. Knowledge Transfer & Client Interface Participate in knowledge transfer sessions delivered to client personnel. Build and maintain effective working relationships with client site teams as the primary on-site AIGC point of contact for day-to-day technical coordination. Resident Engineering & Development Track Act as AIGC's on-site/resident presence at assigned client facilities, under the supervision of the AIGC Technical Lead and Project Manager. Build progressively toward independent ownership of site-level engineering support as competency develops. Rotate across AIGC client engagements over time as the IDS portfolio expands — this role is intended to grow beyond its initial assignment into a broader resident-engineering capability spanning power generation, oil & gas, and other process industry facilities. Education and Qualifications Bachelor's degree in Chemical/Process Engineering, or Mechanical/Power & Energy Engineering with strong thermodynamics coursework.0–5 years' experience (fresh graduates welcome to apply). Saudi National, based in or willing to relocate to Riyadh, with willingness to travel and reside at client facility sites across KSA for extended assignments. Solid academic grounding in thermodynamics, heat & mass balance, and process engineering fundamentals. Familiarity with major process/power-plant equipment — rotating equipment, heat exchangers, and related process units — gained through coursework, internship, or prior exposure. Exposure to process/first-principles simulation concepts is an advantage (e.g., Aspen HYSYS, Petro-SIM, or similar); no prior experience with specific client or vendor software platforms is required — full training will be provided on project- and client-specific tools as assigned. Basic understanding of plant instrumentation, P&IDs, DCS systems, process historians and fuel demand module (FDM) is a plus. Strong Excel and data-handling skills; exposure to Python or basic scripting is an advantage. Fluent in English and Arabic, with strong written and verbal communication skills to coordinate effectively with client site teams. Self-motivated with a strong ownership mindset and adaptability to extended on-site/resident assignments away from Riyadh. Knowledge in acoustic emissions is a plus. Experience in electrical facilities and/or substations. Extensive knowledge of electrical systems. Extensive knowledge of commercial, critical, manufacturing, labs, or distribution facility typesrequired. Proven ability to read, comprehend and apply information from technical manuals and otherreference materials. Ability to make informed recommendations in situations where data sets may be incomplete. Ability to communicate well in both oral and written reports. Ability to balance multiple requirements. Able to interpret how the organizational goals and strategy translate into service ordepartmental activity. Strong Microsoft Excel skills and ability to manipulate large amounts of data accurately usingdifferent spreadsheet formats. Ability to recognize opportunities for process improvements and assist with implementingthem. Ability to engage with client/team stakeholders.

IFS is a billion-dollar revenue company with 7000+ employees on all continents. We deliver award winning enterprise software solutions through the use of embedded digital innovation and a single cloud-based platform to help businesses be their best when it really matters–at the Moment of Service™.<br><br>At IFS, we're flexible, we're innovative, and we're focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society's greatest challenges, fostering a better future through our agility, collaboration, and trust.<br><br>We celebrate diversity and accept that there are so many different perspectives in this world. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.<br><br>By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.<br><br>We're looking for innovative and original thinkers to work in an environment where you can #Make Your Moment so that we can help others make theirs.<br><br>If you want to change the status quo, we'll help you make your moment. Join Team Purple. Join IFS.<br><br>Job Description<br><br>The APJMEA Finance team partners with the business across the region’s markets and legal entities to plan, protect, and grow performance. We are looking for a curious, numerate, and proactive Finance Intern to join us on a structured rotation across our core finance functions.<br><br>This is not a fetch-and-carry internship. You will sit inside real teams, own genuine pieces of the day-to-day work, and learn the trade by contributing to it. You’ll see how a regional finance function actually runs — from the ledger to the boardroom — and you’ll have the chance to help us work smarter by getting involved in our automation and analytics initiatives.<br><br>The rotation<br><br>Over the programme you will rotate through four functions, spending a meaningful block of time in each so you build real competence rather than a surface tour:<br><br>Accounting & Control<br><br>Support month-end close, journal preparation, reconciliations, and intercompany activity across the region’s legal entities. Learn how transactions flow through the ERP and how a clean set of books gets produced.<br><br>FP&A (Financial Planning & Analysis)<br><br>Help build and maintain budgets, forecasts, and management reporting. Contribute to variance analysis (actuals vs. budget / forecast) and learn how the numbers turn into commentary and decisions.<br><br>Commercial Finance<br><br>Work alongside the team that partners with Sales and the business on deals, pricing, and performance. Get exposure to how commercial decisions are evaluated and how finance supports growth.<br><br>Cash Collection (AR)<br><br>Support accounts receivable and collections activity — tracking outstanding balances, helping prepare reporting, and learning how strong customer relationships and disciplined process keep cash flowing.<br><br>What you’ll do<br><br>– Provide day-to-day support on business-as-usual activities within whichever function you are rotating through, working to real deadlines alongside the team<br><br>– Prepare, check, and reconcile data and reporting to a high standard of accuracy<br><br>– Help maintain trackers, schedules, and management reporting used by the team and leadership<br><br>– Get involved in automation and process-improvement initiatives — identifying manual, repetitive tasks and helping streamline them (e.g. spreadsheet automation, reporting templates, light tooling)<br><br>– Bring a fresh pair of eyes: ask good questions, document how things work, and suggest improvements<br><br>– Learn continuously — from the people around you, from the systems, and from owning your own deliverables<br><br>What you’ll gain<br><br>– A genuine, end-to-end view of how a regional finance function operates across multiple markets and entities<br><br>– Hands-on experience in four distinct finance disciplines within a single programme<br><br>– Practical skills in financial reporting, analysis, and finance systems<br><br>– Exposure to automation and analytics — increasingly the difference between a good finance professional and a great one<br><br>– Mentorship from experienced finance professionals and direct visibility to regional finance leadership<br><br>Qualifications<br><br>Essential<br><br>– Working towards or recently completed a degree in Finance, Accounting, Economics, or a related field<br><br>– Strong numerical and analytical ability, with a careful eye for accuracy<br><br>– Confident with Excel; comfortable working with data<br><br>– Proactive, organised, and able to manage your own tasks to deadlines<br><br>– Genuinely curious — you want to understand why, not just complete the task<br><br>– Strong communication skills and a collaborative attitude<br><br>Nice to have<br><br>– Exposure to an ERP system or financial reporting tools<br><br>– Interest or experience in automation, scripting, or data tools (e.g. Power Query, Python, BI tools)<br><br>– Progress towards a professional qualification (e.g. ACCA, CIMA, CPA)

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for a highly skilled Principal Supplier Engagement Analyst to lead supplier engagement initiatives across Retail, eCommerce, and Vendor data ecosystems. In this role, you will serve as a strategic partner to suppliers and internal stakeholders, ensuring high-quality data delivery, operational excellence, and continuous improvement across a portfolio of markets. You will collaborate closely with Data Operations, Strategy, Analytics, and Project Management teams to strengthen supplier relationships, drive onboarding and compliance initiatives, improve data quality, and support business growth opportunities. This role combines data expertise, stakeholder management, and strategic problem-solving, offering the opportunity to make a significant impact on NIQ s data assets and client outcomes.</p><p>Responsibilities</p><ul><li>Lead supplier engagement activities across Retailers, eCommerce partners, and Vendors, ensuring strong collaboration and successful data partnerships.</li><li>Monitor supplier performance against SLAs and KPIs, identifying risks and driving corrective actions when required.</li><li>Analyze data quality metrics and work proactively with suppliers to improve data completeness, accuracy, and timeliness.</li><li>Serve as a trusted advisor and primary point of contact for strategic supplier relationships.</li><li>Drive onboarding activities, including data format alignment, quality validation, testing coordination, and readiness assessments.</li><li>Partner with Data Analysts and Operations teams to monitor data receipt and continuously improve operational performance.</li><li>Identify opportunities to expand data coverage and unlock additional retailer and eCommerce data sources.</li><li>Support change management initiatives related to supplier system changes, data structure modifications, and file delivery processes.</li><li>Coordinate cross-functional efforts with Project Managers, Operations Strategy, Data Governance, and Analytics teams.</li><li>Manage escalations and complex supplier issues, ensuring timely resolution and effective communication.</li><li>Contribute to process optimization initiatives involving SAP environments, transactional data, FTP/MFT integrations, and data exchange frameworks.</li><li>Provide strategic recommendations to improve supplier engagement models and data acquisition capabilities.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Business, Information Systems, Data Analytics, Computer Science, or a related field.</li><li>Strong experience in supplier management, data operations, onboarding, or stakeholder engagement environments.</li><li>Advanced analytical and problem-solving skills with the ability to translate data into business insights.</li><li>Strong understanding of data structures, file formats, mapping methodologies, and ETL concepts.</li><li>Experience working with data quality frameworks, KPI management, and operational performance monitoring.</li><li>Proficiency in Microsoft Office Suite, particularly Excel and PowerPoint.</li><li>Working knowledge of SQL and Python is highly desirable.</li><li>Familiarity with SAP environments, data transfer technologies, FTP, and Managed File Transfer solutions is an advantage.</li><li>Excellent communication, presentation, and relationship-management skills.</li><li>Fluent English communication skills; Arabic language proficiency would be an advantage.</li></ul><p></p></section>

Make an impact with NTT DATA<br><br>Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.<br><br>Your day at NTT DATA<br><br>The IAM/PAM Design Expert is responsible for designing, architecting, and implementing enterprise‑grade Identity and Access Management (IAM) and Privileged Access Management (PAM) solutions. This role plays a critical part in safeguarding the organization’s most sensitive systems by ensuring secure identity lifecycle management, strong authentication mechanisms, and robust privileged access controls. The ideal candidate brings deep technical expertise with leading IAM/PAM platforms such as Cyber Ark and Beyond Trust, along with a strong understanding of modern authentication protocols and directory services.<br><br>Key responsibilities:<br><br>Design, architect, and implement end‑to‑end IAM and PAM solutions across the enterprise. Develop, document, and enforce policies and procedures related to identity lifecycle management, access governance, access certification, and privileged session controls. Integrate IAM/PAM platforms with on‑premises, cloud, and hybrid applications—including infrastructure, enterprise systems, and Saa S platforms. Serve as the subject matter expert on IAM and PAM, advising technical teams and business stakeholders on best practices, security models, and compliance requirements. Conduct periodic reviews of user access rights and privileged accounts to ensure adherence to security policies and regulatory frameworks. Troubleshoot and resolve complex identity‑related issues, including authentication, authorization, and system integration challenges. Monitor industry trends, emerging threats, and new technologies within the IAM/PAM space to continuously strengthen security posture. Maintain documentation, architecture diagrams, and operational runbooks associated with IAM/PAM services.<br><br>To thrive in this role, you need to have:<br><br>Bachelor’s degree in Computer Science, Information Security, or a related technical discipline, or equivalent hands‑on experience. Minimum of 5 years of experience designing and implementing IAM and PAM solutions at enterprise scale. Hands‑on experience with Cyber Ark and/or Beyond Trust (mandatory). Strong understanding of authentication and authorization standards including SAML, OAuth, and Open ID Connect. Experience with directory services such as Active Directory, Azure AD, and LDAP. Relevant certifications such as Cyber Ark Certified Delivery Engineer (CDE) or Beyond Trust Certified Professional. Experience with scripting languages such as Power Shell or Python for automation and system integration. Knowledge of cloud identity solutions such as Azure AD, Okta, or other IAM cloud providers. Excellent problem‑solving abilities and strong communication skills, with the ability to articulate complex identity concepts to diverse stakeholders.<br><br>Workplace type: <br><br>On-site Working<br><br>About NTT DATA<br><br>NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.<br><br>Equal Opportunity Employer<br><br>NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.<br><br>Third parties fraudulently posing as NTT DATA recruiters<br><br>NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters—whether in writing or by phone—in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior CV Engineer based in Saudi Arabia.<br><br>This is an exciting opportunity for an experienced Computer Vision professional to help shape the next generation of AI-powered visual technologies. In this role, you will work on advanced generative models, developing systems capable of producing high-quality photorealistic and stylized visual content. You will contribute to cutting-edge research initiatives while transforming innovative ideas into scalable production solutions. The position combines deep technical expertise with strategic ownership, allowing you to influence model architecture, optimization, and long-term roadmap decisions. Working within a globally distributed and highly collaborative environment, you will have the opportunity to drive meaningful innovation at the intersection of computer vision, multimodal AI, and machine learning. This role is ideal for individuals passionate about pushing the boundaries of generative AI and visual understanding systems.<br><br>Accountabilities<br><br>Train, fine-tune, and enhance generative computer vision models, including text-to-image, image-to-image, video-to-image, and adapter-based architectures. Develop and improve image classification, ranking, and captioning systems capable of understanding complex visual contexts. Monitor emerging research trends and open-source advancements in computer vision, translating findings into actionable development roadmaps. Design, implement, and own model evaluation frameworks and quality validation processes to ensure continuous performance improvement. Optimize model inference through techniques such as diffusion acceleration, quantization, and framework-level performance enhancements. Collaborate with machine learning teams to integrate advanced computer vision capabilities into broader AI systems. Contribute to multimodal AI initiatives that combine visual and language understanding for richer user experiences.<br><br>Requirements<br><br>5+ years of experience working with diffusion models, including training, fine-tuning, and architectural customization. Strong expertise with modern machine learning frameworks and libraries, particularly Diffusers and Transformers. Hands-on experience implementing and optimizing IP-Adapters or similar conditioning techniques. Solid programming skills and practical backend engineering experience, ideally with Python and exposure to scalable deployment environments. Strong understanding of deep learning, generative AI, and computer vision best practices. Ability to independently drive research initiatives and translate experimental results into production-ready solutions. Excellent problem-solving, analytical thinking, and collaboration skills.<br><br>Nice To Have<br><br>Experience with flow matching techniques and diffusion model distillation. Knowledge of DPO and other advanced text-to-image fine-tuning methodologies. Experience with text-to-video generation and CLIP fine-tuning. Familiarity with multimodal large language models. Background in NLP, LLM training, or conversational AI development.<br><br>Benefits<br><br>Fully remote full-time position with flexibility to work from your preferred location. Competitive compensation package, with salary details shared during the recruitment process.28 calendar days of annual vacation.7 wellness days per year for personal recovery and wellbeing. Referral bonus program with rewards of up to $5,000 for successful candidate recommendations.50% reimbursement for professional development, training programs, conferences, and industry events. Corporate discounts for English language learning programs. Annual health allowance of up to $1,000 gross for health insurance, medical expenses, or healthcare support for eligible family members. Workplace support, including fully equipped office or coworking options, or reimbursement of up to $1,000 gross every three years for home office and workspace expenses. Internal recognition and rewards program that allows employees to earn bonuses and redeem them for merchandise, experiences, wellness services, and team activities.<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.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Date Posted:</b></p><br><br>2026-07-16&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-315 ~ 315 Bob Heath Dr ~ BOB HEATH&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>Active and transferable U.S. government issued security clearance is required prior to start date.​ 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 on day 1<br><br><br><p>At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.</p><br><br><br><p>Our Mission is to develop best in industry technologies that align product capabilities to the needs of our customer. We will empower our people to leverage design commonality and innovation, balancing risk and rigor, to achieve predictable and affordable solutions. We are looking for candidates willing to collaborate, innovate, and team with our engineers to generate and utilize today’s cutting-edge technology.</p><br><br><br><p>Effector Guidance Electronics is responsible for designing RF and Microwave hardware, including transmitters, receivers, and exciters. This includes design and test activities that span preliminary design to integration. Products we develop support radar and datalink applications on a variety of tactical missile programs. Critical to this role is designing for challenging mechanical constraints and extreme environments.</p><br><br><br><p><u><b>What You Will Do</b></u></p><br><br><ul><li><p>Design and development of transmitters, receivers or exciters</p><br><br></li><li><p>Design of circuit card assemblies (CCAs) with RF or mixed signals</p><br><br></li><li><p>Work in a lab to accomplish component characterization as well as module verification and integration</p><br><br></li><li><p>Test and handle sensitive RF Hardware</p><br><br></li><li><p>Schematic capture and RF routing</p><br><br></li><li><p>Partner with interdisciplinary teams - power, digital, mechanical, etc.</p><br><br></li></ul><p><br><u><b>Qualifications You Must Have</b></u></p><br><br><ul><li><p>Typically requires a Bachelor’s in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of two years of prior relevant experience</p><br><br></li><li><p>Experience to include any combination of the following:</p><br><br></li><li><p>RF design and fabrication</p><br><br></li><li><p>RF test and troubleshoot</p><br><br></li><li><p>Simulation of RF products</p><br><br></li><li><p>Experience with any of the following tools:</p><br><br></li><li><p>Mentor DX Designer or equivalent, High Frequency Structure Simulator (HFSS) or equivalent, SystemVue/Genesys or equivalent, Advanced Design System (ADS) or equivalent</p><br><br></li></ul><p><br><u><b>Qualifications We Prefer</b></u></p><br><br><ul><li><p>Working across domains on complex projects</p><br><br></li><li><p>Ability to prepare documentation with minimal oversight</p><br><br></li><li><p>Technical background in some of the following areas:</p><br><br></li><li><p>Cascade analysis and/or frequency planning</p><br><br></li><li><p>Filter design and fabrication</p><br><br></li><li><p>Circuit card assembly design and fabrication</p><br><br></li><li><p>Testing or designing RF hybrid (chip and wire) technologies</p><br><br></li><li><p>High speed data converter test/characterization</p><br><br></li><li><p>High power RF design or test experience</p><br><br></li><li><p>Scripting experience (Matlab or Python)</p><br><br></li></ul><p><br><u><b>What We Offer</b></u></p><br><br><p>Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.</p><br><br><br><p>This position is an on-site role, located in Huntsville, AL and is eligible for relocation assistance.</p><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 68,900 USD - 131,100 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>