Python Developer Jobs in Saudi

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph">border:0px; font-style:normal; font-weight:400; font-stretch:inherit; font-size:12pt; line-height:inherit; font-family:Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size-adjust:inherit; margin:0px; padding:0px; vertical-align:baseline; color:black !important; letter-spacing:normal; orphans:2; text-indent:0px; text-transform:none; widows:2; word-spacing:0px; white-space:normal; background-color:rgb(255, 255, 255)"&gt;<b>Role Overview <br> <div> <br> <div>The DevOps &amp; Release Management Engineer is the gatekeeper of our production environment, responsible for architecting and executing the continuous integration and continuous deployment (CI/CD) strategy across our entire financial technology ecosystem. You will ensure seamless, zero-downtime releases for our core platforms (Fineract and ERPNext) alongside our proprietary custom stack (mobile applications, Java/Spring Boot middleware, credit decision engine, and BPM workflows). Operating entirely within Google Cloud Platform (GCP KSA), you will champion infrastructure-as-code (IaC), container orchestration, and strict release governance to meet the high-availability demands of the KSA financial sector.<br> <div> <br> <div> <b>Key Responsibilities <br> <div>Release Planning &amp; Governance<br> <ul> <li> <div>Own the Release Management lifecycle: schedule, coordinate, and manage releases across development, QA, UAT, and production environments.<br> </div></li><li> <div>Define and enforce strict release gates, change management controls, and rollback procedures to ensure system stability and compliance with SAMA regulatory requirements.<br> </div></li><li> <div>Maintain comprehensive audit trails of all deployments and infrastructure changes for compliance and security reviews.<br> <div> <br> <div>CI/CD Pipeline Architecture<br> <ul> <li> <div>Design, build, and maintain robust automated CI/CD pipelines for a diverse tech stack, accommodating monolithic packaged applications (ERPNext) and modern microservices.<br> </div></li><li> <div>Automate testing integration, code quality checks, and security scanning within the deployment pipelines for custom-built middleware, mobile apps, and decision engines.<br> </div></li><li> <div>Manage environment consistency and configuration drift across all tiers.<br> <div> <br> <div>Cloud Infrastructure &amp; Container Orchestration<br> <ul> <li> <div>Manage and scale the underlying GCP infrastructure using Infrastructure-as-Code (e.g., Terraform).<br> </div></li><li> <div>Administer and optimize Kubernetes (K8s) clusters for the deployment of proprietary microservices, ensuring efficient resource utilization, auto-scaling, and high availability.<br> </div></li><li> <div>Manage service meshes, API gateways, and identity/access management configurations (e.g., Keycloak) critical to the middleware's security architecture.<br> <div> <br> <div>Monitoring &amp; Operations Support<br> <ul> <li> <div>Implement advanced telemetry, logging, and monitoring solutions across the GCP environment (e.g., Prometheus, Grafana, ELK stack) to proactively detect post-release anomalies.<br> </div></li><li> <div>Collaborate closely with the ITSM Lead and L3 Engineering to troubleshoot deployment failures, database migration issues (e.g., PostgreSQL), and complex network routing problems.<br> <div> <br> <br> <span> Requirements <div> <div>Qualifications &amp; Technical Requirements<br> <ul> <li> <div>Experience: 5+ years of experience in DevOps, Cloud Engineering, and Release Management, ideally within banking, fintech, or a highly regulated industry.<br> </div></li><li> <div>Cloud &amp; Infrastructure: Deep, hands-on expertise with Google Cloud Platform (GCP) and container orchestration using Docker and Kubernetes.<br> </div></li><li> <div>CI/CD &amp; Automation: Proficiency with enterprise CI/CD tools (e.g., GitLab CI, Jenkins, ArgoCD) and configuration management.<br> </div></li><li> <div>Technical Stack Knowledge:<br> <ul> <li> <div>Experience deploying and managing Java (Spring Boot) and Python applications.<br> </div></li><li> <div>Strong understanding of relational databases, specifically PostgreSQL, and handling automated database migrations during releases.<br> </div></li><li> <div>Familiarity with the deployment architectures of Fineract and/or ERPNext (Frappe framework) is highly advantageous.<br> </div></li><li> <div>Scripting: Strong scripting skills (Bash, Python) for automating routine operational tasks.<br> </div></li><li> <div>Process Acumen: Deep understanding of Agile methodologies, ITIL release management frameworks, and blue/green or canary deployment strategies.<br> <div> <br> <div> <br> <br>","Work_Experience":null,"</div></div></div></li></ul></div></li></ul></div></div></span></div></div></li></ul></div></div></div></li></ul></div></div></div></li></ul></div></div></div></li></ul></div></b></div></div></div></div></b></div></section>

<p><br></p><p>You will work closely with clients across the Saudi market to translate business strategies into robust data engineering solutions, while contributing to client engagements, proposals, and wider practice growth in the region.</p><p><strong>Key Responsibilities</strong></p><ul><li>Lead the design and delivery of end-to-end data engineering solutions across multiple client engagements.</li><li>Architect, build, and optimize scalable data platforms and data pipelines for analytics, BI, and AI use cases.</li><li>Design and implement modern data architectures, including medallion and lakehouse patterns, across cloud and on-premise environments.</li><li>Develop robust data models and pipelines ensuring performance, reliability, security, and governance.</li><li>Collaborate with business stakeholders, data scientists, and analytics teams to enable AI-driven solutions.</li><li>Support data modernization and migration initiatives, including legacy-to-cloud transitions.</li><li>Prepare and deliver high-quality client materials including presentations, solution designs, and executive-level narratives.</li><li>Contribute to proposal development, solution shaping, estimations, and commercial discussions.</li><li>Coach and mentor junior team members and contribute to EY knowledge assets.</li></ul><p><strong>Skills and Attributes for Success</strong></p><ul><li>Strong hands-on experience in SQL and Python for data engineering use cases.</li><li>Proven expertise in data modeling, ETL/ELT development, and pipeline orchestration.</li><li>Solid understanding of data platforms and modern engineering technologies.</li><li>Deep knowledge of data architectures, including batch and streaming pipelines.</li><li>Experience across cloud platforms (Azure, AWS, and/or GCP) and on-premise technologies.</li><li>Strong understanding of data governance, quality, and security principles.</li><li>Excellent storytelling skills, with the ability to translate technical concepts into business value.</li><li>Strong experience preparing client presentations, business cases, and Data &amp; AI proposals.</li><li>Good business and commercial acumen with consulting delivery experience.</li><li>Experience with Dataiku and related data science platforms for developing, orchestrating, and operationalizing analytics and AI solutions.</li></ul><p><strong>Experience and Qualifications</strong></p><ul><li>3-7+ years of experience in data engineering and/or Data &amp; AI consulting.</li><li>Prior experience in a consulting or professional services environment is strongly preferred.</li><li>Bachelor s or Master s degree in Computer Science, Engineering, Data Science, or a related field.</li><li>Experience delivering projects within large, complex organizations is an advantage.</li></ul><p><strong>Language Requirements</strong></p><ul><li>Arabic language skills are strongly preferred.</li><li>Professional proficiency in English is required.</li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>Strong hands-on experience in SQL and Python for data engineering use cases.</li><li>Proven expertise in data modeling, ETL/ELT development, and pipeline orchestration.</li><li>Solid understanding of data platforms and modern engineering technologies.</li><li>Deep knowledge of data architectures, including batch and streaming pipelines.</li><li>Experience across cloud platforms (Azure, AWS, and/or GCP) and on-premise technologies.</li><li>Strong understanding of data governance, quality, and security principles.</li><li>Excellent storytelling skills, with the ability to translate technical concepts into business value.</li><li>Strong experience preparing client presentations, business cases, and Data &amp; AI proposals.</li><li>Good business and commercial acumen with consulting delivery experience.</li><li>Experience with Dataiku and related data science platforms for developing, orchestrating, and operationalizing analytics and AI solutions.</li><li>3-7+ years of experience in data engineering and/or Data &amp; AI consulting.</li><li>Prior experience in a consulting or professional services environment is strongly preferred.</li><li>Bachelor s or Master s degree in Computer Science, Engineering, Data Science, or a related field.</li><li>Experience delivering projects within large, complex organizations is an advantage.</li><li>Arabic language skills are strongly preferred.</li><li>Professional proficiency in English is required.</li></ul>

<p>About the Role: We are seeking a Commercial Data Analyst to join our Data Intelligence team. In this role, you will leverage Almosafer's end-to-end travel commerce data including bookings, customer, pricing, supplier, and revenue data to generate actionable insights that inform business strategy, optimize commercial performance, and enable data-driven decision-making across Sourcing, Revenue Management, Product, Sales, and Marketing.</p><p>You ll act as the bridge between data and business, turning complex datasets into actionable recommendations that enable commercial success.</p><p>The ideal candidate will have 5+ years of analytical experience in e-commerce or travel, strong expertise in Sourcing, Products or Digital analytics, and hands-on experience with BI tools for delivering insights at scale. Knowledge of machine learning and rule-based models is a strong advantage.</p><p>Responsibilities:</p><p>Data Exploration &amp; Analysis - Explore and analyze in-house datasets (transactional, sourcing, connectivity, competitive intelligence) to generate meaningful insights. - Conduct deep-dive and ad-hoc analyses to identify trends, patterns, and opportunities that drive revenue and margin improvement. - Design and evaluate test scenarios to validate hypotheses and maximize the value of internal systems.</p><p>Insight Generation &amp; Communication - Translate data findings into clear, concise, and actionable insights and business recommendations. - Present analysis to stakeholders in a compelling narrative, using visualizations and storytelling to support strategic decisions - Deliver Insights to a wider audience and reiterate to generate impactful results &amp; achieve regular success</p><p>Data Product Support &amp; Continuous Improvement - Contribute to the development and evolution of Commercial Data Products by providing insights, testing hypotheses, and validating assumptions - Help shape KPIs, reporting metrics, and dashboards aligned with business goals. - Proactively suggest opportunities for optimization and process improvement using data insights. - Stay up to date with industry trends and analytics tools to enhance analytical capabilities</p><p>Stakeholder Engagement - Collaborate closely with cross-functional teams (Sourcing, Revenue Management, Product, Sales &amp; Marketing) to understand their data needs and deliver impactful analytical solutions. - Act as a mutual data partner, and advisor to cross-functional teams and multiple stakeholders.</p><p>Advanced Analytics &amp; Data Solutions - Design scalable, automated analytics solutions using tools such as SQL, Python, and cloud-based data platforms to support operational analytics. - Ensure adherence to enterprise data governance and quality standards, working closely with Data Engineering and Governance teams.</p><p>Collaboration &amp; Data Governance - Bridge Operations and Data Intelligence to ensure aligned data standards and methodologies. - Drive data literacy and analytical best practices across teams.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s or Master s degree in STEM, Business Analytics, or related field.</p><p>5+ years of experience as a Data Analyst, preferably in e-commerce, online travel, or digital-first businesses.</p><p>Proficiency in SQL, Python or R, and advanced Excel.</p><p>Strong experience in Commercial, Digital Products or Data Analytics practices.</p><p>Hands-on experience with BI tools such as Tableau, Power BI, Looker, or similar for dashboard development and storytelling.</p><p>Excellent stakeholder management and communication skills; English fluency.</p><p>Experience building and deploying machine learning models e.g. Pricing &amp; Margin Optimization, Forecasting, Recommendations, Mapping etc.</p><p>Familiarity with big data warehouses (Google BigQuery, AWS Redshift, Snowflake).</p>

Job Title: Lead Cloud Engineer (Hybrid Cloud) Industry: Financial Services Level: Lead / Senior Role Location: Riyadh, KSA<br>Role Overview We are seeking an experienced Lead Cloud Engineer with 8+ years of experience and a strong background in financial services to define, own, and execute our hybrid cloud strategy. This is a lead technical role requiring deep, hands-on expertise across on-premise, hybrid, and cloud environments, with proven success delivering secure, compliant on-prem to cloud migrations in regulated environments.<br>Key Responsibilities Lead the architecture and management of hybrid cloud environments (on-prem + cloud) Own and execute on-prem to cloud migrations with minimal business risk Design secure cloud landing zones, networking, and identity integrations Optimize cloud cost, performance, reliability, and scalability Ensure high availability, resilience, security, and performance across cloud platforms Lead infrastructure lifecycle management, including capacity planning, patching, and upgrades Act as the senior technical authority for cloud and infrastructure decisions Drive Infrastructure as Code (IaC) adoption and automation practices Support CI/CD pipelines and modern application delivery models<br>Technical Skills VMware virtualization platforms Enterprise networking and security Google Cloud Platform (GCP) Infrastructure as Code (Terraform) CI/CD tools and automation Scripting: Power Shell, Bash, Python Monitoring and logging platforms<br>Required Experience & Qualifications Minimum 8+ years of IT Infrastructure and Cloud experience Mandatory experience in the financial services industry Proven ownership of on-prem to cloud migrations Strong expertise in VMware and enterprise networking Hands-on experience with GCPExperience working in regulated, audit-driven environments

Looks like your next b AIg move!<br>Get it? AI, Big, BAIg? Ok i'll stop now.<br>We’ve partnered with a stealth-mode AI delivery company operating at the heart of some of the most strategic initiatives in Saudi Arabia. They work directly with major enterprises and government-backed entities, embedding engineers on-site to build and deploy real AI systems in production - not just talk about them.<br>They are now looking for Forward Deployed Engineers (FDEs) to join their founding team in KSA!<br>???? The Role:You’ll be embedded directly within client environments, working side-by-side with stakeholders to identify real business problems and build AI-driven solutions from scratch. We’re talking:→ LLMs, RAG pipelines, agent-based systems→ Integrations with enterprise platforms (SAP, Oracle, etc.)→ Full ownership from problem → architecture → build → deployment<br>In simple terms: You build it. You ship it. You own it.<br>✅ What You’ll Already Have:-4+ years of experience in backend / data / software engineering-Python wizard-Exposure to AI / LLMs / data pipelines (RAG, agents, etc.)-Strong communication skills - able to work directly with clients-Comfortable working on-site and traveling across the region-Arabic fluency is the cherry on top<br>???? Package & Benefits:-Competitive Salary!-Housing, transport, and schooling support (Nice, eh?)-High-impact work across some of the region’s most important organisations-Opportunity to be part of a founding AI engineering team in KSA<br>Hit that apply button or drop me a message and we’ll take it from there ????

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">This Senior NLP Engineer position is for a partner company of Jobgether. The role is based in Saudi Arabia and focuses on developing next-generation AI systems for large-scale social and conversational products. The engineer will be instrumental in designing and enhancing advanced language models to create intelligent and engaging AI-driven companions and chat systems. The work involves a blend of intensive research and production focus, integrating cutting-edge NLP experimentation with real-world, large-scale deployment.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Context and Collaboration</h3> <p style="margin:0 0 12px; ************;">The Senior NLP Engineer will collaborate closely with multidisciplinary teams, including data, validation, and product specialists, to continuously refine model behavior and quality. This role offers the opportunity to influence the entire LLM lifecycle, from initial training and fine-tuning to deployment and optimization. Contributions will also shape the organization's NLP roadmap by staying abreast of the latest advancements in AI research and the open-source ecosystem. This is a fully remote position within a globally distributed engineering culture.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Train, fine-tune, and optimize large language models for AI companion and conversational systems at scale.</li> <li style="margin:0 0 6px;">Design, build, and maintain agentic frameworks, including agent harnesses, reasoning loops, and chat orchestration systems.</li> <li style="margin:0 0 6px;">Manage the end-to-end LLM lifecycle, from data preparation and model training through to deployment and production monitoring.</li> <li style="margin:0 0 6px;">Research and evaluate state-of-the-art NLP techniques, translating findings into actionable product roadmap improvements.</li> <li style="margin:0 0 6px;">Implement and enhance alignment methods such as Reinforcement Learning from Human Feedback (RLHF) and Direct Preference Optimization (DPO).</li> <li style="margin:0 0 6px;">Collaborate with validation, content, and data teams to design experiments and measure model quality and performance.</li> <li style="margin:0 0 6px;">Contribute to the development of scalable backend systems supporting high-throughput model inference and production AI workloads.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications and Experience</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Strong hands-on experience in training and fine-tuning large language models in production or research environments.</li> <li style="margin:0 0 6px;">Proven experience in building agentic pipelines, LLM orchestration systems, or AI agent frameworks.</li> <li style="margin:0 0 6px;">Deep understanding of transformer architectures, PyTorch, and modern NLP/ML libraries.</li> <li style="margin:0 0 6px;">Solid knowledge of alignment techniques, including RLHF, DPO, and related post-training methodologies.</li> <li style="margin:0 0 6px;">Background in backend or systems engineering, preferably using Python, with exposure to Go or C#, and experience with scalable deployment architectures.</li> <li style="margin:0 0 6px;">Experience in AI-first companies or research-driven product teams, such as those focused on conversational AI or LLM startups, is desirable.</li> <li style="margin:0 0 6px;">Strong analytical thinking and an experimentation mindset, with the ability to translate research findings into production-ready systems.</li> <li style="margin:0 0 6px;">Experience with multimodal models (text, image, video), distributed training on large datasets, or CV-related model development is considered a plus.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Technical Skills</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Large Language Models (LLMs)</li> <li style="margin:0 0 6px;">Agentic Frameworks</li> <li style="margin:0 0 6px;">LLM Lifecycle Management</li> <li style="margin:0 0 6px;">NLP Techniques</li> <li style="margin:0 0 6px;">Alignment Methods (RLHF, DPO)</li> <li style="margin:0 0 6px;">Scalable Backend Systems</li> <li style="margin:0 0 6px;">Transformer Architectures</li> <li style="margin:0 0 6px;">PyTorch</li> <li style="margin:0 0 6px;">Modern NLP/ML Libraries</li> <li style="margin:0 0 6px;">Python, Go, or C#</li> <li style="margin:0 0 6px;">Scalable Deployment Architectures</li> <li style="margin:0 0 6px;">Conversational AI</li> <li style="margin:0 0 6px;">LLM Startups</li> <li style="margin:0 0 6px;">Analytical Thinking</li> <li style="margin:0 0 6px;">Experimentation Mindset</li> <li style="margin:0 0 6px;">Multimodal Models</li> <li style="margin:0 0 6px;">Distributed Training</li> <li style="margin:0 0 6px;">CV Model Development</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Environment and Additional Information</h3> <p style="margin:0 0 12px; ************;">This is a fully remote, full-time position. The role is based in Saudi Arabia. Jobgether utilizes an AI-powered matching process for application review, with the final decision and next steps managed by the hiring company.</p>

Key Responsibilities<br><br>Lead and manage a team of AI solution engineers, providing technical guidance, mentorship, and support Collaborate closely with product management, presales, and sales teams to understand customer requirements and translate them into technical solutions Design and architect AI-based solutions, ensuring scalability, performance, and maintainability Oversee the development and deployment of AI language technologies, including NLP, machine learning models, and related applications Coordinate cross-functional collaboration to ensure alignment on project goals and timelines Stay current with the latest advancements in AI and language technologies, incorporating best practices into the development process Manage technical documentation and ensure knowledge sharing within the team and with stakeholders Participate in client meetings and presentations to demonstrate technical solutions and capabilities<br><br>Requirements<br><br>Qualifications<br><br>Bachelor's degree in Computer Science, Artificial Intelligence, Engineering, or a related field; Master's degree preferred Minimum 8 years of experience in AI development or engineering roles, with at least 3 years in a leadership or managerial capacity Strong expertise in AI technologies, including NLP, machine learning, deep learning frameworks, and language processing tools Experience with AI deployment and integration in production environments Proven track record managing and mentoring engineering teams Excellent problem-solving and analytical skills Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders Proficiency in programming languages such as Python, Tensor Flow, PyTorch, or similar Knowledge of cloud platforms and services (AWS, Azure, Google Cloud) is a plus Fluent in English and Arabic, both written and spoken

Job Summary<br>The AI Researcher will be responsible for conducting advanced research in Artificial Intelligence and Arabic Natural Language Processing (NLP), contributing to the development of innovative AI-driven solutions that support the objectives of the Arabic Intelligence Center. The role focuses on exploring emerging technologies, evaluating state-of-the-art models, and transforming research findings into practical applications.<br>Key Responsibilities· Conduct research and studies in Artificial Intelligence, Machine Learning, and Arabic NLP.· Investigate and evaluate Large Language Models (LLMs) and Generative AI technologies.· Design and execute research experiments and analyze results.· Develop research papers, technical reports, and knowledge materials.· Contribute to the development of Arabic linguistic datasets and language resources.· Collaborate with AI engineers, linguists, and subject matter experts to enhance AI solutions.· Monitor global advancements and emerging trends in AI and computational linguistics.· Participate in workshops, presentations, and knowledge-sharing activities.<br>Required Skills· Strong knowledge of Artificial Intelligence, Machine Learning, and Deep Learning.· Hands-on experience in Arabic Natural Language Processing (NLP).· Proficiency in Python and AI development frameworks.· Experience with Large Language Models (LLMs) and Generative AI technologies.· Strong analytical, research, and problem-solving skills.· Ability to produce technical documentation and research publications.· Excellent communication and presentation skills.· Fluency in Arabic and English.<br>Qualifications· Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.· Minimum of 5 years of experience in Arabic Natural Language Processing (NLP).

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Implement and deploy applications software, providing staff support and training, ensuring regulatory compliance and data security, analyzing data for operational insights, monitoring application performance, safeguarding patient privacy, to support aligning IT solutions with clinical needs and improve healthcare delivery.</p> <p><strong>Accountabilities</strong></p> <ul> <li><p>Support in developing new applications or customizing existing ones to meet the unique needs of the retail industry, for assigned applications.</p></li> <li><p>Act as level 2 support for assigned applications with end users making sure any bugs or errors are resolved within agreed SLAs to meet internal customer needs.</p></li> <li><p>Analyzing the specific requirements of end users and support in designing solutions that meet their needs and streamline required processes, improve patient care, and enhance operational efficiency.</p></li> <li><p>Support in the implementation of new software applications or major updates on assigned applications, ensuring minimal disruption to daily operations and compatibility with existing systems. Utilize IT data for analysis and reporting purposes, to use to spot areas of development or any operating inefficiencies.</p></li> <li><p>Collaborating with vendors that provide specialized applications support, ensuring that these tools meet the specific needs of the end user.</p></li> <li><p>Continuously monitor the performance of applications, ensuring they meet the demands of a fast-paced retail environment and identifying areas for improvement.</p></li> <li><p>Ensuring patient privacy is maintained in all applications, with strict adherence to confidentiality and data protection best practices to maintain patient privacy.</p></li> <li><p>Staying abreast of technological advancements in both the IT and pharmacy sectors, exploring innovative solutions like tele pharmacy, mobile health apps, and AI-driven tools to stay updated with technological advancements and explore innovative solutions.</p></li> <li><p>Collaborating with pharmacists, healthcare providers, and insurance companies to ensure that IT solutions align with business needs and facilitate effective healthcare delivery</p></li> </ul> <p><strong>Work Environment</strong></p> <ul> <li><p>Indoors : 100%</p></li> <li><p>Outdoors : 0%</p></li> <li><p>Working Days : 5 Working Days</p></li> <li><p>Days off : 2 Days Off</p></li> <li><p>Working Hours : 8:00 AM 6:00 PM (1 hour break)</p></li> </ul> <p><strong>Job Requirement</strong></p> <div> <p><strong>Education</strong></p> <ul> <li><p>BSc in IT (preferably in MIS Systems Design) or related field.</p></li> </ul> <p><strong>Experience</strong></p> <ul> <li><p>3+ years in an IT applications function with preference for retail or related industry.</p></li> </ul> <p><strong>Computer Skills</strong></p> <ul> <li><p>Proficiency in specific store applications and general retail systems.</p></li> <li><p>Proficiency in languages such as SQL, Java, Python, or .NET</p></li> <li><p>Skills in database technologies like SQL Server, Oracle, MySQL</p></li> <li><p>Knowledge of various phases of SDLC</p></li> <li><p>Familiarity with common ERP and CRM platforms, such as SAP, Oracle, Salesforce</p></li> <li><p>Experience with BI tools like Tableau, Power BI</p></li> <li><p>Understanding of various operating systems like Windows, Linux</p></li> </ul> <p><strong>Languages</strong></p> <ul> <li><p>English</p></li> <li><p>Arabic</p></li> </ul> </div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Education</strong></p> <ul> <li><p>BSc in IT (preferably in MIS Systems Design) or related field.</p></li> </ul> <p><strong>Experience</strong></p> <ul> <li><p>3+ years in an IT applications function with preference for retail or related industry.</p></li> </ul> <p><strong>Computer Skills</strong></p> <ul> <li><p>Proficiency in specific store applications and general retail systems.</p></li> <li><p>Proficiency in languages such as SQL, Java, Python, or .NET</p></li> <li><p>Skills in database technologies like SQL Server, Oracle, MySQL</p></li> <li><p>Knowledge of various phases of SDLC</p></li> <li><p>Familiarity with common ERP and CRM platforms, such as SAP, Oracle, Salesforce</p></li> <li><p>Experience with BI tools like Tableau, Power BI</p></li> <li><p>Understanding of various operating systems like Windows, Linux</p></li> </ul> <p><strong>Languages</strong></p> <ul> <li><p>English</p></li> <li><p>Arabic</p></li> </ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>· Gather and analyze business requirements in HR, Purchasing &amp; Supply Chain, Finance &amp; Accounting, and Other Odoo ERP Modules/Apps.</p><p>· Translate business needs into clear written functional and technical specifications.</p><p>· Daily Coordination with Odoo Implementation Company to Expedite Implementation of Core Business Requirements and best practices in All Odoo ERP apps/modules designs, data management, and workflows automation.</p><p>· Provide guidance on system configuration, integration, and reporting.</p><p>· Troubleshoot and resolve ERP issues, while ensuring data integrity and system performance.</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>· Proven experience with Odoo ERP, including module customization and Odoo Studio.</p><p>· Strong programming skills in Python, JavaScript, XML, and PostgreSQL.</p><p>· Solid experience in HR and/or Supply Chain &amp; Purchasing modules.</p><p>· Skilled in business analysis, requirements gathering, and functional documentation.</p><p>· Bilingual English and Arabic – excellent communication and documentation skills.</p><p>· Ability to work independently and collaboratively in a fast-paced environment. </p><p>· Experience implementing ERP solutions in restaurant, QSR, or FMCG sectors.</p><p>· Knowledge of Odoo deployment, integration, and best practices in data governance.</p></div>

<p>Looking for an AI Engineer to Develop, deploy, and operate AI/LLM models across Clinets dual environment GCP for public-cloud workloads, Humain sovereign cloud for classified data. Build and fine-tune LLM/ML models for Arabic NLP, document classification, vision/OCR, and AIOps use cases. Run pre-deployment evaluation Accuracy baselines, regression and safety testing; evidence to justify GPU allocation. Optimize inference quantization, batching, context sizing against measured usage. Deploy on Humain GPUaaS: Kubernetes, GPU partitioning on B300 nodes, quotas, RBAC. Build equivalent workloads on GCP (Vertex AI, GKE) with classification-based routing. Own serving stack (vLLM/TGI), model versioning, CI/CD, and monitoring for latency, tokens, GPU utilization, and drift. Ensuring developed AI Models Complying with ZATCA data sovereignty and SDAIA requirements (AI Ethics, GenAI Guidelines, PDPL).</p><p><strong>Desired Candidate Profile</strong></p><p>5 years ML/AI engineering, in production LLM deployment with knowledge in Python, PyTorch, Hugging Face Kubernetes in production; GPU-served inference GCP Vertex AI or any equivellent cloud</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are looking for <strong>Senior Linux System Administrators</strong> with strong hands-on experience in <strong>Red Hat Enterprise Linux (RHEL)</strong> and <strong>Kubernetes</strong> to administer and support the infrastructure underpinning an HPC environment. The role focuses on <strong>system reliability, security, performance, automation, and availability</strong>.</p><br>Key Responsibilities<ul><li> Administer and maintain <strong>RHEL/Linux servers and HPC compute nodes</strong>. </li><li> Install, configure, patch, upgrade, and troubleshoot <strong>Linux operating systems</strong>. </li><li> Manage and support <strong>Kubernetes clusters, nodes, and workloads</strong>. </li><li> Perform <strong>Linux performance tuning, system hardening, and troubleshooting</strong>. </li><li> Monitor <strong>system health, capacity, performance, and availability</strong>. </li><li> Automate infrastructure administration using <strong>Ansible, Shell scripting, Python</strong>, or similar tools. </li><li> Support integration between <strong>compute, storage, networking, Kubernetes, and HPC platforms</strong>. </li><li> Troubleshoot complex Linux, Kubernetes, and infrastructure issues. </li><li> Implement security best practices across Linux and Kubernetes environments. </li><li> Support incident resolution, root-cause analysis, and preventive actions. </li><li> Maintain system configurations, technical documentation, and operational procedures.</li></ul> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br>Kanz <br>Job Description<br>Design, build, and deploy AI/ML solutions that deliver measurable business value for products and services in Riyadh. Key Performance Indicators: • Deliver production-ready AI models • Improve model accuracy and reliability • Automate ML pipelines end-to-end • Ship AI features on schedule • Document and monitor model performance Qualifications: • 5+ years of AI/ML engineering experience • Hands-on experience with deep learning • Strong software engineering and MLOps practices • Experience deploying models to production • Bachelor’s/Master’s in Computer Science or related field<br>Qualifications<br> Required Qualifications <ul><li>5+ years of AI/ML engineering experience</li><li>Hands-on experience with deep learning</li><li>Strong software engineering and MLOps practices</li><li>Experience deploying models to production</li><li>Bachelor’s/Master’s in Computer Science or related field</li><li>Python</li><li>PyTorch or TensorFlow</li><li>Machine learning</li><li>NLP and computer vision</li><li>MLOps (Docker, CI/CD)</li><li>Model deployment (APIs)</li><li>Data engineering and feature engineering</li><li>Problem-solving</li><li>Ownership and accountability</li><li>Cross-functional collaboration</li></ul> <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>Define and drive the enterprise AI and automation road map aligned with business priorities</p><p>Identify and prioritise high-value AI and digital use cases across operations and support functions</p><p>Design and deploy practical solutions (e.g., predictive analytic, automation, IOT-enabled systems)</p><p>Build and test MVP's and pilots, then scale successful initiatives across the organisation</p><p>Partner with internal teams and external stakeholders (technology providers, startups, academia)</p><p>Act as a bridge between technical solutions and business needs, ensuring adoption and execution</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Strong expertise in artificial intelligence and its applications in the FM-CG industry.</li><li>Experience in AI, automation, digital transformation, or Industry 4.0</li><li>Proven experience in developing and implementing AI strategies within a business context.</li><li>Strong hands-on experience with AI/ML, data analytic, and Python-based development</li><li>Proficiency in managing cross-functional teams and fostering collaboration.</li><li>Strong understanding of data architecture, IOT systems, and enterprise platforms</li><li>Ability to stay updated on the latest developments in AI and industry trends.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Handle requests from the support team and colleagues (basic problem analysis); Identify and report bugs; Standardize solutions, prepare and update documentation for L1 and L2 teams; Analyze technical issues and create development tasks for fixing them; Contribute to the development and improvement of internal tools and processes (automation, BackOffice enhancements); Automate routine tasks.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Experience working with Jira; Strong soft skills (ownership and facilitation of ticket handling and resolution processes, proactivity, high level of autonomy); Experience with monitoring and logging tools (Datadog, Grafana, Kibana); Knowledge and practical use of administrative automation tools; English at a level sufficient for written communication and reading technical documentation (B2); Understanding of software development principles; Experience writing simple SQL queries.</p><p>Nice to have: Experience with Google Cloud; Experience with Google Apps Script; Scripting skills (Bash, Python, Go); Understanding of ITIL processes; Basic knowledge of FinTech Jira administration experience. Experience at a startup.</p><p></p></section>

<p><h4>Minimum qualifications:</h4> <p><strong>Bachelor's degree in Computer Science or equivalent practical experience.</strong><br> 5 years of experience in project management and technical solution delivery.<br> Experience with architecture, developing, and maintaining technical solutions in virtualization or cloud environments.<br> Experience in networking, compute infrastructure (e.g., servers, databases, firewalls, load balancers) and architecting, developing, or maintaining cloud solutions in virtualized environments (e.g., Networking, DevOps/SRE, Security, Compute, Storage, Kubernetes).</p> <h4>Preferred qualifications:</h4> <p>Experience working with channel partners, systems integrators, and third-party developers to deliver successful solutions.<br> Experience with deployment and orchestration technologies (e.g., Docker, Kubernetes, Ansible, etc).<br> Experience in deploying distributed data processing systems in one or more of the following: Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, etc.<br> Experience in systems design with an ability to architect or explain complex systems interactions including data flows, common interfaces, APIs, etc.<br> Experience with reading software code in one or more languages (e.g., Java, JavaScript, or Python).<br> Ability to communicate in English and Arabic fluently to support client relationship management in this region.</p></p><p></p>

<p>FEQ427R335 The location for the role should be in the Riyadh region (i.e. within a commutable distance for a hybrid schedule). At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data &amp; Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!</p><p>The impact you will have:</p><ul><li>Form successful relationships with enterprise clients throughout Saudi Arabia, providing technical and business value to Databricks customers in collaboration with Account Executives.</li><li>Operate as an expert in big data analytics to excite customers about Databricks.</li><li>You will develop into a champion and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.</li><li>Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.</li><li>Grow your knowledge and expertise to the level of a technical and/or industry specialist.</li></ul><p>What we look for:</p><ul><li>Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.</li><li>Develop customer relationships and build internal partnerships with account executives and teams.</li><li>Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.</li><li>Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).</li><li>Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.</li></ul><p>Mandatory requirements:</p><ul><li>The location for the role should be in the Riyadh region (i.e. within a commutable distance for a hybrid schedule).</li><li>Flexibility to travel (up to 30% as required for customer meetings, events and trainings).</li><li>Business proficiency in both Arabic and English required.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.</li><li>Develop customer relationships and build internal partnerships with account executives and teams.</li><li>Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.</li><li>Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).</li><li>Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.</li><li>The location for the role should be in the Riyadh region (i.e. within a commutable distance for a hybrid schedule).</li><li>Flexibility to travel (up to 30% as required for customer meetings, events and trainings).</li><li>Business proficiency in both Arabic and English required.</li></ul>

Jasara PMC is a joint venture between PIF, Jacobs, and Saudi Aramco, focused on delivering social infrastructure programs in Saudi Arabia. The company supports Vision 2030 through solutions-based program delivery, helping bring complex infrastructure initiatives from planning through execution with a strong emphasis on coordination, control, and delivery excellence.<br><br>In this role, you will help strengthen the consistency and connectivity of engineering information across major infrastructure programs. This is an opportunity to contribute to projects where disciplined configuration control, effective integration, and close collaboration across technical and delivery stakeholders are essential to successful outcomes.<br><br>Responsibilities<br><br>Manage configuration baselines and maintain accurate engineering documentation across project phases Coordinate system integration activities between multidisciplinary teams and external stakeholders Track design changes and ensure configuration updates are properly reviewed and approved Support interface management to resolve integration issues across connected systems<br><br>Requirements<br><br>Required Qualifications<br><br>Bachelor's degree in engineering or a related technical discipline At least 8 years of experience supporting configuration management activities and at least 8 years of experience supporting system integration activities Strong development experience in digital delivery platforms, including building, integrating, automating, and enhancing digital solutions Experience in construction project environments, including large-scale infrastructure project environments and engineering project delivery Hands-on experience with document control, change management, and baseline tracking Proven ability to work with design consultants, project delivery teams, external vendors, and senior client-side stakeholders<br><br>Preferred Qualifications<br><br>Experience with Autodesk Construction Cloud Platform Services, REST APIs, and ETL processes and data transformation Experience with Microsoft Azure and Microsoft Power Platform, including Power Apps, Power Automate, and Power BIExperience with . NET, Java Script, or Python BIM or digital delivery background

Key Responsibilities Design, develop, and maintain scalable backend microservices using Python and Node.js. Design, develop, and maintain modern frontend applications using React and Vue.js. Own software features throughout the entire development lifecycle, from technical design to production support. Lead technical design discussions and contribute to overall system architecture and engineering best practices. Build reusable, maintainable, and well-structured frontend components following modern development standards. Design and implement secure, scalable, and maintainable REST APIs for frontend and third-party integrations. Collaborate closely with Frontend, Backend, QA, UX/UI, and Product teams to define technical solutions and ensure seamless integration. Develop and maintain real-time features and asynchronous communication where required. Implement secure authentication, authorization, and application security best practices. Optimize backend and frontend performance, ensuring scalability, responsiveness, and reliability. Design efficient data access patterns, caching strategies, and application state management. Write clean, maintainable, well-tested, and well-documented code. Review code, enforce engineering standards, and mentor other developers through technical guidance and constructive feedback. Troubleshoot production issues, identify root causes, and implement reliable long-term solutions. Participate in technical planning, estimation, architecture reviews, and technology selection. Contribute to technical documentation, coding standards, and continuous improvement of engineering processes.<br>Preferred Experience Experience designing and developing distributed systems based on Microservices Architecture. Experience with asynchronous messaging and event-driven architectures. Experience working with SQL and NoSQL databases. Familiarity with API documentation standards such as Open API (Swagger). Experience developing enterprise-scale web applications with a strong focus on performance, scalability, and maintainability

We are seeking a versatile Full-Stack Software Developer/Engineer to drive the design, development, and optimization of our web applications, database architectures, and business intelligence (BI) solutions. Your immediate focus will be on building robust web systems and unlocking insights from our data. While we plan to expand into mobile applications in the future, your core day-to-day impact will be centered on our web and data ecosystem. The final job title (Software Developer or Software Engineer) will be determined based on the selected candidate's depth of experience.<br>Key Responsibilities<br>Core Development (Immediate Focus): Design, build, verify, and deploy:High-performance Web Applications. Robust Database Architectures and schemas. Secure, scalable APIs to connect our systems. Actionable Business Intelligence (BI) solutions and reporting tools. Code Quality & Maintenance: Write clean, scalable, and well-documented code. Troubleshoot, debug, and maintain existing software and security systems. Continuous Improvement: Evaluate user feedback, recommend system upgrades, and execute program improvements. Documentation: Create and maintain comprehensive technical documentation. Future Scope: Support the transition into Mobile Applications when the roadmap expands.<br>Requirements & Qualifications<br>Education & Experience Degree: Bachelor’s degree in computer science, Computer Engineering, Information Systems, or a related field. Experience: Proven track record in Full-Stack Web Development and database management. UI/UX: Hands-on experience in web and visual design following user experience best practices. Technical Stack Frontend: HTML5, CSS3, Java Script. Backend: Python. Database: Microsoft SQL Server (crucial for our BI and core architecture). Mobile: Mobile application development experience is a plus for the future but not required for day-one tasks. Core Competencies Strong analytical, logical thinking, and mathematical problem-solving skills. Excellent communication and teamwork capabilities. Ability to learn new programming languages and technologies quickly.