Python Developer Jobs - Riyadh Saudi

<p><strong>Job Description:</strong></p><p>(Product Analytics) (Business Intelligence).</p><p><strong>Responsibilities:</strong></p><ul><li>Utilizing SQL for complex data extraction and analysis, including complex joins and aggregations.</li><li>Developing and maintaining dashboards using BI tools such as Power BI, Tableau, Looker, or Metabase.</li><li>Implementing and managing tracking plans and event definitions.</li><li>Collaborating with product and engineering teams to define data requirements and ensure data accuracy.</li><li>Performing data analysis to identify trends, insights, and opportunities for product improvement.</li><li>Contributing to data warehousing modeling using tools like dbt.</li><li>Ensuring data privacy and compliance with regulations (PDPL).</li></ul><p><strong>Qualifications:</strong></p><ul><li>Proficiency in SQL, including complex joins and aggregations.</li><li>Experience with BI tools like Power BI, Tableau, Looker, or Metabase.</li><li>Familiarity with Python, R, or SQL for data analysis.</li><li>Understanding of tracking plans and event implementation.</li><li>Experience with data warehousing concepts and tools like dbt is a plus.</li><li>Knowledge of data privacy regulations (PDPL).</li><li>Experience in the Marketplace or HR Tech industry is advantageous.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Proficiency in SQL, including complex joins and aggregations.</li><li>Experience with BI tools like Power BI, Tableau, Looker, or Metabase.</li><li>Familiarity with Python, R, or SQL for data analysis.</li><li>Understanding of tracking plans and event implementation.</li><li>Experience with data warehousing concepts and tools like dbt is a plus.</li><li>Knowledge of data privacy regulations (PDPL).</li><li>Experience in the Marketplace or HR Tech industry is advantageous.</li></ul>

<p>We are looking for an experienced Senior Infrastructure Engineer to design, implement, maintain, and optimize enterprise IT infrastructure environments. The ideal candidate will have strong hands-on experience across servers, virtualization, cloud platforms, storage, networking, backup, and infrastructure security , with the ability to troubleshoot complex technical issues and ensure high availability and performance of critical systems.</p><p>Key Responsibilities</p><ul><li>Design, deploy, configure, and maintain enterprise infrastructure environments.</li><li>Manage Windows Server and/or Linux systems, including patching, upgrades, performance tuning, and troubleshooting.</li><li>Administer virtualization platforms such as VMware vSphere/ESXi, Hyper-V, or equivalent technologies .</li><li>Support cloud and hybrid-cloud environments, particularly Microsoft Azure and/or AWS .</li><li>Manage Active Directory, Group Policy, DNS, DHCP, and related Microsoft infrastructure services .</li><li>Configure and maintain enterprise storage, backup, and disaster recovery solutions .</li><li>Support LAN/WAN infrastructure and coordinate with network and security teams when required.</li><li>Monitor infrastructure availability, capacity, and performance and proactively address potential issues.</li><li>Implement infrastructure security standards, access controls, system hardening, vulnerability remediation, and patch management.</li><li>Troubleshoot complex infrastructure incidents and perform root-cause analysis.</li><li>Participate in high-availability, disaster recovery, migration, upgrade, and infrastructure transformation projects .</li><li>Develop and maintain technical documentation, architecture diagrams, procedures, and operational standards.</li><li>Automate routine infrastructure activities using tools such as PowerShell, Bash, Python, or infrastructure automation platforms .</li><li>Provide technical guidance and mentoring to junior engineers.</li><li>Work closely with application, cybersecurity, network, database, and cloud teams to ensure reliable service delivery.</li><li>Follow ITIL-based processes for incident, problem, change, and configuration management.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Computer Science, Information Technology, Engineering , or a related field. 3+ years of experience in IT infrastructure/system engineering, including significant experience in enterprise environments. Strong hands-on knowledge of Windows Server and/or Linux administration . Strong experience with VMware, Hyper-V, or similar virtualization technologies . Good knowledge of Active Directory, DNS, DHCP, Group Policy, and identity/access management . Experience with Azure, AWS, or hybrid-cloud infrastructure . Understanding of enterprise networking concepts including TCP/IP, VLANs, routing, firewalls, VPNs, and load balancing . Experience with enterprise SAN/NAS storage, backup, replication, and disaster recovery solutions . Knowledge of infrastructure monitoring and management tools. Strong understanding of high availability, business continuity, security, and infrastructure best practices . Strong troubleshooting, analytical, and root-cause-analysis skills. Ability to manage multiple priorities and work effectively in business-critical environments. Strong communication and stakeholder-management skills.</p><p>Preferred Qualifications</p><ul><li>Certifications such as Microsoft Azure, AWS, VMware VCP, Red Hat RHCE, Microsoft, Cisco, or ITIL .</li><li>Experience with infrastructure automation using PowerShell, Ansible, Terraform, Python, or Bash .</li><li>Experience supporting large-scale, highly available enterprise environments .</li><li>Knowledge of container technologies such as Docker and Kubernetes is an advantage.</li></ul>

In a world of possibilities, pursue one with endless opportunities. Imagine Next!<p> </p>At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what s possible.<p> </p> <p> </p> <p> <u> <b>Job Description:</b> </u> </p> <p>Parsons is looking for an amazingly talented <b>Project Controls Data Analyst</b> to join our team! In this role you will integrates the various engineering, scope, budget, scheduling, procurement, construction, and start-up aspects of a small project. May manage a subtask of a larger project or study in accordance with contractual obligations. Responsible for the technical excellence of the engineering functions of the project including coordination of technical disciplines, procurement of materials and equipment, and construction planning assistance. Relocation to the project site may be required during construction and start-up activities.</p> <p> </p> <p> <b>What You'll Be Doing:</b> </p> <p> </p> <p> <b>Reporting &amp; Dashboard Development</b> </p> <ul> <li> <p>Design, develop, and maintain interactive dashboards and reporting solutions using Power BI.</p> </li> <li> <p>Automate recurring project controls reports and performance metrics.</p> </li> <li> <p>Produce executive-level reports highlighting project status.</p> </li> <li> <p>Develop standardized KPIs for program and portfolio reporting.</p> </li> </ul> <p> </p> <p> <b>Schedule &amp; Cost Analytics</b> </p> <ul> <li> <p>Analyze progress trends.</p> </li> <li> <p>Support earned value management (EVM) reporting and analysis.</p> </li> <li> <p>Provide forecasting support.</p> </li> </ul> <p> </p> <p> <b>Business Intelligence &amp; Decision Support</b> </p> <ul> <li> <p>Transform complex datasets into actionable insights for project leadership.</p> </li> <li> <p>Identify trends, risks, opportunities, and performance improvement areas.</p> </li> </ul> <p> </p> <p> <b>Process Improvement &amp; Automation</b> </p> <ul> <li> <p>Develop automated data extraction, transformation, and reporting solutions.</p> </li> <li> <p>Utilize technology (Python and SQL) to streamline data processing and reporting workflows.</p> </li> <li> <p>Improve reporting efficiency through digital tools and innovative analytical techniques.</p> </li> <li> <p>Support digital transformation initiatives within Project Controls.</p> </li> </ul> <p> </p> <p> <b>What Required Skills You'll Bring:</b> </p> <ul> <li> <p>Bachelor s degree in information systems, Data Analytics, Computer Science, Statistics, or a related field.</p> </li> <li> <p>3 7 years of experience in project controls, data analytics, business intelligence, or a related discipline.</p> </li> <li> <p>Experience supporting large-scale construction, infrastructure, engineering, or capital projects is preferred.</p> </li> <li> <p>Experience developing Power BI dashboards and managing project performance reporting.</p> </li> </ul> <p> <br> <b>What Desired Skills You'll Bring:</b> </p> <ul> <li> <p>Tools &amp; Systems</p> </li> <li> <p>Power BI</p> </li> <li> <p>Microsoft Excel</p> </li> <li> <p>Primavera P6</p> </li> <li> <p>Microsoft Project</p> </li> <li> <p>SQL</p> </li> <li> <p>Python</p> </li> </ul> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>Parsons equally employs representation at all job levels no matter the race, color, religion, sex (including pregnancy), national origin, age, disability or genetic information.<p> </p> <p> </p> <p>We truly invest and care about our employee s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest APPLY TODAY!</p> <p> </p> <p> </p> <p>Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to<span> </span> <span>https://www.parsons.com/fraudulent-recruitment/</span> .</p>

<h3 >About Qualcomm and the Opportunity</h3> <p >Qualcomm is expanding its presence in Riyadh, Saudi Arabia, to bolster its infrastructure across the region. As Saudi Arabia progresses with its digital transformation under Vision 2030, Qualcomm is investing in advanced computing and data centre capabilities to support AI, cloud technologies, and scalable advanced connectivity. This presents an opportunity to contribute to a rapidly growing technology hub. We are seeking a <strong >Machine Learning Engineer Staff level</strong> for our Datacentre AI Engineering team in a full-time capacity in Riyadh.</p> <h3 >Role Overview</h3> <p >The Staff-level ML Applications Engineer will operate with a high degree of autonomy, defining technical goals and scope for assigned problem areas. This role involves leading development efforts from conception through execution, requiring extensive hands-on experience in C++/Python-based AI development within a Linux environment. The successful candidate will demonstrate strong analytical skills, foster effective cross-team collaboration, and mentor other engineers through practical example, maintaining a hands-on, execution-focused approach.</p> <h3 >Key Responsibilities</h3> <ul > <li >Improve and optimize key Deep Learning models on Qualcomm AI 100.</li> <li >Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories.</li> <li >Collaborate with internal teams to analyze and optimize training and inference for deep learning.</li> <li >Develop software tools and an ecosystem around the AI SW Stack.</li> <li >Work on Triton, ExecuTorch, Inductor, and TorchDynamo to build abstraction layers for inference accelerators.</li> <li >Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems.</li> <li >Optimize the entire deep learning pipeline, including graph compiler integration.</li> <li >Apply knowledge of software engineering best practices.</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >5-10 years of professional experience in a relevant engineering role, specifically in AI development.</li> <li >Extensive hands-on experience in C++/Python-based AI development within a Linux environment.</li> <li >Demonstrated ability to define technical goals, scope problem areas, and lead development efforts from conception through execution.</li> <li >Strong analytical skills and a proven ability to collaborate effectively across teams.</li> <li >Experience mentoring and guiding other engineers through practical example.</li> <li >Proficiency with Deep Learning models, frameworks, and optimization techniques.</li> <li >Familiarity with open-source contributions and building software ecosystems around AI stacks.</li> <li >Knowledge of inference accelerators and related technologies such as Triton, ExecuTorch, Inductor, and TorchDynamo.</li> <li >Understanding of workload optimization for multi-SoC and multi-card systems, and deep learning pipeline optimization including graph compiler integration.</li> <li >Adherence to software engineering best practices.</li> </ul> <h3 >Compensation Structure</h3> <p >The compensation package for this full-time position includes a competitive salary, housing and transport allowances, Stock (RSU's), and a performance-related bonus.</p> <h3 >Join Our Team</h3> <p >This role offers an opportunity to contribute to the advancement of AI and data centre capabilities within a global technology leader. We invite qualified candidates to apply.</p>

<h3 >About Agoda and the Role</h3> <p >Agoda, a part of Booking Holdings [NASDAQ: BKNG], is a global travel platform connecting people to destinations and experiences worldwide. With a diverse team operating in offices globally, Agoda leverages technology and data to enhance travel for millions. We are seeking a <strong >Senior/Staff Endpoint Systems Engineer</strong> to join our full-time team based in Bangkok. This role is critical for maintaining and improving end-user experience through advanced engineering and technical ownership.</p> <h3 >Role Overview</h3> <p >This position operates within a high-impact, fast-paced engineering environment, focusing on innovation and deep technical expertise. The Senior/Staff Endpoint Systems Engineer serves as the final technical escalation point for complex, high-impact issues across endpoint systems and infrastructure. The role involves driving root cause analysis, collaborating with internal teams and vendors, and implementing lasting solutions to challenging problems.</p> <h3 >Key Responsibilities</h3> <ul > <li >Act as the highest escalation point for unresolved 1st- and 2nd-level support cases.</li> <li >Perform deep technical troubleshooting for complex OS and hardware issues, including Windows BSODs, driver issues, and hardware failures.</li> <li >Conduct root cause analysis to ensure findings lead to long-term fixes, standards, or automation.</li> <li >Manage and troubleshoot devices using enterprise tooling such as Intune, Configuration Manager, KACE, JAMF, and Altiris.</li> <li >Design and maintain robust deployment, patching, compliance, and security baselines for Windows fleets.</li> <li >Monitor endpoint health and performance using custom platforms, proactively identifying trends and systemic risks.</li> <li >Develop automation and remediation solutions using scripting languages like PowerShell, Python, or Bash.</li> <li >Mentor and coach 1st- and 2nd-level teams, providing guidance during outages and high-severity incidents.</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.</li> <li >Minimum of <strong >5 years of hands-on experience</strong> supporting and engineering desktop and endpoint infrastructure.</li> <li >Proven experience operating as a 3rd level escalation engineer.</li> <li >Strong expertise in Windows internals within corporate environments and advanced OS troubleshooting (BSODs, drivers, updates, performance issues).</li> <li >Proficiency with Enterprise Endpoint Management platforms such as Intune, ConfigMgr, KACE, or Altiris.</li> <li >Excellent analytical, communication, and stakeholder management skills.</li> <li >Demonstrated strong sense of ownership, accountability, and customer focus.</li> </ul> <h3 >Preferred Qualifications</h3> <ul > <li >Microsoft 365 Certified: Endpoint Administrator Associate (MD102).</li> <li >Experience querying and analyzing data using SQL, PromQL, or LogQL.</li> <li >Advanced scripting skills, particularly with PowerShell, Python, or Bash.</li> <li >Experience building or enhancing endpoint reliability or telemetry platforms (*, Grafana, Telegraf, Open Telemetry Collector).</li> </ul> <h3 >Working at Agoda</h3> <p >Joining Agoda means working on global-scale endpoint environments where your contributions have direct impact. This role offers the opportunity to operate as a true L3 engineering authority, influencing tooling, standards, automation, and architectural decisions. You will collaborate with engineers in a diverse, international environment, contributing to a highly resilient IT infrastructure.</p>

<p>Job Description: Senior Developer (Vue.js) Position Overview We are seeking an experienced Senior Developer (Vue.js) to design, develop, and deliver scalable, high-performance web applications. The ideal candidate will have strong expertise in Vue.js , modern software development practices, and backend technologies. This role requires close collaboration with cross-functional teams, mentoring junior developers, and contributing to the architecture and continuous improvement of our applications. Key Responsibilities Design, develop, test, and maintain scalable and secure web applications. Build responsive, high-performance user interfaces using Vue.js . Translate business requirements into technical solutions and system designs. Develop and integrate RESTful APIs with frontend applications. Optimize application performance, scalability, and maintainability. Conduct code reviews and ensure adherence to coding standards and best practices. Mentor junior developers and provide technical guidance. Collaborate with Product, QA, UX/UI, and DevOps teams throughout the development lifecycle. Participate in Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives. Contribute to CI/CD pipelines, deployment processes, and continuous improvement initiatives. Evaluate and adopt new technologies, frameworks, and development tools where appropriate.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Computer Science, Software Engineering, Information Technology, or a related field. Proven experience as a Senior Software Developer or in a similar role. Strong hands-on experience with Vue.js (Must Have). Proficiency in one or more programming languages such as Java, C#, Python, JavaScript, or TypeScript . Experience with modern development frameworks and technologies such as .NET, Spring Boot, React, Angular, or Node.js . Solid understanding of software development methodologies including Agile, Scrum, or Kanban . Experience working with SQL and/or NoSQL databases. Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) . Experience with version control systems such as Git or SVN . Good understanding of CI/CD pipelines , DevOps practices, and automated deployment processes. Strong experience designing, developing, and consuming RESTful APIs . Demonstrated ability to conduct code reviews and mentor development team members. Excellent analytical, problem-solving, communication, and collaboration skills. Preferred Qualifications Experience with microservices architecture. Knowledge of containerization technologies such as Docker and Kubernetes. Familiarity with automated testing frameworks and best practices. Experience working in enterprise-scale application development environments. Skills Required: Proficiency in one or more programming languages (e.g., Java, C#, Python, JavaScript, TypeScript) Hands-on experience with modern frameworks and libraries (e.g., .NET, Spring, React, Angular, Node.js) Strong understanding of software development methodologies (Agile, Scrum, or Kanban) Experience with databases (SQL and/or NoSQL) Familiarity with cloud platforms (AWS, Azure, or GCP) Expertise in version control systems (Git, SVN) Solid understanding of CI/CD pipelines and DevOps concepts Experience in designing and consuming RESTful APIs Ability to perform code reviews and mentor team members Strong analytical and problem-solving skills Excellent communication and teamwork abilities</p>

Devsinc is looking for a highly skilled <strong>Senior Data Engineer with 4-6 years of professional experience</strong> to design, build, and maintain scalable data pipelines and processing systems that support analytics, data products, and AI/ML capabilities.<br><br>The ideal candidate will have strong hands-on experience with <strong>ETL/ELT pipelines, Python, SQL, Apache Airflow, Apache Spark, and Redis</strong>, along with the ability to develop reliable and maintainable workflows for large, complex, and continuously growing datasets. You will collaborate with Product, Business Intelligence, Data Science, and Engineering teams to deliver production-ready datasets and high-performance data solutions.<br><br><strong>Responsibilities<br><br></strong><ul><li>Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, validation, and delivery. </li><li>Build, schedule, and orchestrate production-grade data workflows using Apache Airflow. </li><li>Develop distributed data-processing jobs using Apache Spark. </li><li>Write efficient, reusable, and maintainable Python code for data processing, automation, and pipeline development. </li><li>Develop and optimize complex SQL queries for data transformation, analysis, and quality validation. </li><li>Design pipelines capable of processing large-scale structured, semi-structured, and unstructured datasets. </li><li>Implement Redis for caching, high-performance data access, and data-intensive application requirements. </li><li>Integrate data from APIs, relational databases, files, third-party providers, and other internal and external sources. </li><li>Implement data validation, monitoring, logging, error handling, alerting, and pipeline observability. </li><li>Optimize pipeline performance, data storage, processing time, and infrastructure costs. </li><li>Develop reusable data-ingestion and transformation frameworks instead of one-off scripts. </li><li>Troubleshoot pipeline failures, performance bottlenecks, and data-quality issues to ensure timely resolution. </li><li>Collaborate with BI, Product, Data Science, and Engineering teams to deliver reliable, production-ready datasets. </li><li>Establish and maintain data-engineering standards, technical documentation, and development best practices. <br><br></li></ul><strong>Requirements<br><br></strong><ul><li>Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. </li><li> 4-6 years of professional experience in Data Engineering or a closely related role. </li><li> Strong hands-on experience designing and implementing production-grade ETL/ELT pipelines. </li><li> Strong proficiency in Python for data processing, automation, and data-engineering workflows. </li><li> Advanced SQL skills and a strong understanding of relational databases. </li><li> Practical production experience with Apache Airflow for workflow orchestration. </li><li> Hands-on experience with Apache Spark and distributed data processing. </li><li> Strong understanding of data modelling, transformation patterns, and data-pipeline architecture. </li><li> Experience with Redis, caching strategies, and high-performance data-access patterns. </li><li> Experience processing large datasets and optimizing pipeline and query performance. </li><li> Strong understanding of data quality, validation, monitoring, observability, and pipeline reliability. </li><li> Familiarity with Linux, Git, Docker/containers, and modern software-engineering practices. </li><li> Strong analytical, troubleshooting, communication, and cross-functional collaboration skills. <br><br></li></ul><strong>Preferred Qualification<br><br></strong><ul><li> Experience with cloud data platforms and object storage services such as AWS, Azure, or GCP. </li><li> Experience working with PostgreSQL, data warehouses, or analytical databases. </li><li> Experience processing geospatial data or large-scale location-based datasets. </li><li> Familiarity with DuckDB, Apache Sedona, Trino, Presto, or similar analytical technologies. </li><li> Experience processing high-volume event, mobility, transactional, or geospatial data. </li><li> Familiarity with CI/CD pipelines and infrastructure-as-code practices. </li><li> Experience supporting data products, analytics platforms, or AI/ML pipelines</li></ul>

<h3 >About the Role</h3> <p >Ninja, a quick-commerce company, is seeking a <strong >Senior Data and Infrastructure Engineer</strong> to join its Data Team in Riyadh, Riyadh Province. This full-time role is central to transforming the company into a truly data-driven organization. The successful candidate will design and build scalable data solutions that provide business teams with reliable, high-quality data and actionable insights.</p> <h3 >Role Purpose and Impact</h3> <p >This position focuses on addressing complex data challenges and developing robust data platforms within an international and collaborative environment. The engineer will play a critical role in evolving the data architecture to support advanced analytics, reporting, and informed decision-making across the organization, ensuring data quality and consistency.</p> <h3 >Key Responsibilities</h3> <ul > <li >Design, develop, deploy, and maintain scalable, open-source data solutions for a rapidly growing international business.</li> <li >Build and evolve the data architecture to enable advanced analytics, reporting, and data-driven decision-making.</li> <li >Develop and optimize CDC / ETL/ELT pipelines for both batch and near real-time data processing.</li> <li >Support analytical and machine learning workflows by providing reliable and well-structured datasets.</li> <li >Integrate data from diverse sources, including transactional databases, third-party platforms, and external APIs (*, PostgreSQL, MySQL, Google Analytics, BigQuery, Google Ads, Adjust).</li> <li >Collaborate with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance.</li> <li >Monitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability using managed and open-source solutions.</li> <li >Evaluate and recommend new technologies (open source/managed), tools, and architectural approaches to enhance the data ecosystem.</li> <li >Contribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organization.</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline.</li> <li >4+ years of professional experience in Data Engineering, Data Warehousing, Data Ops, or a related field.</li> <li >Good hands-on experience with one of the major cloud platforms, with AWS preferred.</li> <li >Expert hands-on experience with Linux tools.</li> <li >Ability to deploy applications using Docker on bare metal servers.</li> <li >Strong expertise in SQL (PSQL) and relational database concepts, including data modeling and query optimization.</li> <li >Experience designing and maintaining data warehouse architectures.</li> <li >Hands-on experience with columnar databases and performance optimization techniques.</li> <li >Experience working with workflow orchestration and distributed job scheduling tools, preferably Apache Airflow.</li> <li >Solid programming skills in Python or Java, with a preference for Python.</li> <li >Good understanding of Linux environments and scripting (Bash).</li> <li >Experience with modern cloud-based data platforms and analytical databases such as ClickHouse, StarRocks, or similar technologies.</li> <li >Experience working with S3 compatible open-source solutions and managed solutions.</li> <li >Familiarity with data integration, CDC/ETL/ELT frameworks, and large-scale data processing.</li> </ul> <h3 >Additional Requirements</h3> <ul > <li >Strong communication skills in English are essential for this role.</li> </ul> <h3 >Work Environment</h3> <p >This is a full-time position based in Riyadh, offering an opportunity to work within an international and collaborative team environment. Salary details for this role are not disclosed.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Description: MLOps &amp; AI Platform Engineer Job Title: MLOps &amp; AI Platform Engineer Experience: 3 11 Years Location: Riyadh - Onsite Employment Type: Full-Time Job Overview We are seeking a skilled MLOps &amp; AI Platform Engineer with 3 11 years of experience to build, automate, and manage scalable machine learning platforms and production AI environments. The ideal candidate will have hands-on expertise in MLOps, Kubernetes, cloud-native AI infrastructure, CI/CD automation, and model lifecycle management. You will be responsible for enabling data scientists and AI engineers to efficiently develop, deploy, monitor, and maintain machine learning models at scale.</p><p>Key Responsibilities</p><ul><li>Design, build, and maintain enterprise-grade MLOps platforms and AI infrastructure.</li><li>Develop and automate end-to-end machine learning pipelines for training, validation, deployment, and monitoring.</li><li>Implement model versioning, experiment tracking, and model registry solutions.</li><li>Build scalable CI/CD pipelines for AI/ML workloads.</li><li>Deploy and manage machine learning workloads on Kubernetes-based environments.</li><li>Collaborate with Data Scientists, AI Engineers, Data Engineers, and DevOps teams to operationalize ML solutions.</li><li>Implement Infrastructure as Code (IaC) for cloud-native AI platforms.</li><li>Monitor platform health, model performance, and infrastructure availability.</li><li>Ensure platform security, scalability, reliability, and operational excellence.</li><li>Troubleshoot production issues and continuously optimize platform performance.</li></ul><p>Required Technical Skills</p><p>MLOps Platforms</p><ul><li>Hands-on experience with Kubeflow or Vertex AI Pipelines or SageMaker Pipelines .</li><li>Strong experience with MLflow for experiment tracking, model registry, and lifecycle management.</li><li>Experience orchestrating machine learning workflows using Apache Airflow .</li></ul><p>Containerization &amp; Orchestration</p><ul><li>Strong expertise in Kubernetes (GKE or AKS or EKS) .</li><li>Experience deploying and managing containerized AI/ML workloads in cloud environments.</li></ul><p>Infrastructure Automation</p><ul><li>Hands-on experience with Terraform for Infrastructure as Code (IaC).</li><li>Experience automating infrastructure provisioning and cloud resource management.</li></ul><p>CI/CD &amp; DevOps</p><ul><li>Experience with GitHub Actions for CI/CD automation.</li><li>Knowledge of DevOps best practices, Git workflows, and automated deployments.</li></ul><p>Monitoring &amp; Observability</p><ul><li>Experience using Prometheus for infrastructure and application monitoring.</li><li>Knowledge of logging, alerting, and performance monitoring for AI platforms.</li></ul><p>Qualifications</p><ul><li>Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related field.</li><li>3 11 years of professional experience in MLOps, DevOps, Platform Engineering, Cloud Engineering, or AI Infrastructure.</li><li>Strong scripting and automation skills using Python, Bash, or similar languages.</li><li>Excellent analytical and problem-solving skills.</li><li>Experience working in Agile/Scrum environments.</li></ul><p>Preferred Skills</p><ul><li>Experience with Docker and containerized application deployment.</li><li>Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.</li><li>Familiarity with model monitoring, drift detection, and automated retraining pipelines.</li><li>Experience implementing security best practices for AI/ML platforms.</li><li>Cloud and Kubernetes certifications are a plus.</li></ul><p>Key Technology Stack</p><ul><li>MLOps Platforms: Kubeflow or Vertex AI Pipelines or SageMaker Pipelines</li><li>Workflow Orchestration: Apache Airflow and MLflow</li><li>Container Orchestration: Kubernetes (GKE or AKS or EKS)</li><li>Infrastructure as Code: Terraform</li><li>CI/CD: GitHub Actions</li><li>Monitoring: Prometheus</li><li>Cloud Platforms: Google Cloud Platform or Microsoft Azure or Amazon Web Services (Preferred)</li><li>Automation: Python and Bash (Preferred)</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related field.</li><li>3 11 years of professional experience in MLOps, DevOps, Platform Engineering, Cloud Engineering, or AI Infrastructure.</li><li>Strong scripting and automation skills using Python, Bash, or similar languages.</li><li>Excellent analytical and problem-solving skills.</li><li>Experience working in Agile/Scrum environments.</li></ul><p>Preferred Skills</p><ul><li>Experience with Docker and containerized application deployment.</li><li>Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.</li><li>Familiarity with model monitoring, drift detection, and automated retraining pipelines.</li><li>Experience implementing security best practices for AI/ML platforms.</li><li>Cloud and Kubernetes certifications are a plus.</li></ul><p></p></section>

<p>As a Data Analyst II at HungerStation, you will support the product development lifecycle by analyzing data, understanding user needs, and providing actionable insights that help optimize product performance. You will work closely with Product, Technology, Marketing, Commercial, Logistics/Operations, and Growth teams to turn data into meaningful insights and support data-driven decision-making. In this role, you will: Analyze product and business data to understand growth drivers and identify opportunities for improvement. Develop analyses, reports, and interactive dashboards to support business teams and stakeholders. Use quantitative analysis to uncover insights and help Product Managers, Designers, and Engineers understand what to build and why. Work with structured and semi-structured data from multiple sources, including BigQuery, Redshift, and PostgreSQL. Use SQL (BigQuery) and Python or R to extract, process, and analyze large datasets. Design and analyze A/B tests by defining hypotheses, setting up experiments, and evaluating results using statistical methods. Own data projects from data collection through to operationalization. Build and maintain dashboards and reports using tools such as Looker Cloud, Tableau, Google Data Studio, or similar visualization platforms. Contribute to continuous improvement of data and analytical processes.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>2 – 4 years of relevant experience in Data Analytics or a related field.</li><li>Bachelor’s degree in Business Administration, Computer Science, Information Systems, or a relevant field.</li><li>Strong SQL skills, with experience using BigQuery.</li><li>Python or R experience is required.</li><li>Basic knowledge of statistics and experience applying statistical methods to data.</li><li>Experience working with large datasets and data from multiple sources.</li><li>Strong analytical and problem-solving skills.</li><li>Experience creating dashboards and reports using tools such as Looker Cloud, Tableau, Google Data Studio, or similar.</li><li>Ability to translate data into clear, actionable insights for business and product stakeholders.</li><li>Strong communication and collaboration skills, with the ability to work across Product, Technology, Marketing, Commercial, Logistics/Operations, and Growth teams.</li></ul>

<p>About the role : Integration Engineer IBM DataPower &amp; CP4I : 8+ years : Riyadh Saudi Arabia : 6 Months (Extendable) : Currently staying in Saudi with valid Iqama</p><p><strong>Deep expertise in AAA, OAuth2/SAML, JWT, TLS/mTLS, GatewayScript, and XSLT.</strong></p><p><strong>Strong hands-on experience with API Connect, MQ, App Connect, and Event Streams.</strong></p><p><strong>Proven ability to design, build, and secure APIs using OpenAPI/Swagger, with proficiency in XML/JSON transformations and protocol bridging.</strong></p><p><strong>Experience in full API lifecycle management, policy enforcement, developer portal setup, and usage analytics.</strong></p><p><strong>Skilled in OpenShift-integrated CP4I deployments, certificate management, networking, API security, and observability (logging/monitoring/tracing).</strong></p><p><strong>Automation &amp; Scripting: Familiarity with scripting (Shell, Python) and CI/CD pipelines for integration artifacts.</strong></p><p>Preferred Qualifications Experience with ADFS, Nafath, or other national SSO frameworks. Knowledge of Kafka/Event Streams and asynchronous messaging patterns. IBM DataPower or CP4I certification is a plus.</p><p>Key responsibilities Experience in full API lifecycle management</p><p>What we're looking for Deep expertise in AAA, OAuth2/SAML, JWT, TLS/mTLS, GatewayScript, and XSLT.</p><p><strong>Desired Candidate Profile</strong></p><p>Deep expertise in AAA, OAuth2/SAML, JWT, TLS/mTLS, GatewayScript, and XSLT. Strong hands-on experience with API Connect, MQ, App Connect, and Event Streams. Proven ability to design, build, and secure APIs using OpenAPI/Swagger, with proficiency in XML/JSON transformations and protocol bridging. Experience in full API lifecycle management, policy enforcement, developer portal setup, and usage analytics. Skilled in OpenShift-integrated CP4I deployments, certificate management, networking, API security, and observability (logging/monitoring/tracing). Automation &amp; Scripting: Familiarity with scripting (Shell, Python) and CI/CD pipelines for integration artifacts.</p><p>Preferred Qualifications Experience with ADFS, Nafath, or other national SSO frameworks. Knowledge of Kafka/Event Streams and asynchronous messaging patterns. IBM DataPower or CP4I certification is a plus.</p>

<p><strong>مسمى الوظيفي المقترح:</strong><br><strong>AI Automation &amp; Systems Engineer — مهندس ذكاء اصطناعي وأتمتة أنظمة</strong></p><p><strong>وصف الوظيفة</strong></p><p>نبحث عن مهندس تقني عملي وذكي يتولى <strong>المسؤولية التقنية الشاملة عن أنظمة الشركة وأتمتتها وربطها بالذكاء الاصطناعي</strong>، بحيث يكون مسؤولاً عن تحويل العمليات اليدوية والمتكررة إلى أنظمة مترابطة تعمل بأعلى قدر ممكن من الأتمتة والاستقلالية.</p><p>الدور ليس متخصص ذكاء اصطناعي نظري فقط، بل <strong>مهندس مشروع تقني شامل</strong> يستطيع فهم احتياجات العمل، تنفيذ الحلول، ربط الأنظمة، إصلاح المشاكل، ومتابعة التشغيل من البداية حتى الاستقرار.</p><p>سيكون مسؤولاً عن المنظومة التقنية كاملة، بما يشمل:</p><ul><li><p>الموقع الإلكتروني والـ Backend والـ APIs.</p></li><li><p>تطبيقات iOS وAndroid ومتابعة التكاملات المتعلقة بها.</p></li><li><p>تصميم وتنفيذ أنظمة الأتمتة وسير العمل.</p></li><li><p>استخدام الذكاء الاصطناعي وAI Agents لتشغيل ومتابعة أعمال الشركة.</p></li><li><p>ربط خدمات الطرف الثالث والأنظمة الخارجية عبر APIs وWebhooks.</p></li><li><p>أتمتة العمليات الداخلية والإدارية والتشغيلية.</p></li><li><p>ربط CRM وERP وقواعد البيانات والأنظمة المختلفة ببعضها.</p></li><li><p>بناء حلول باستخدام أدوات مثل <strong>n8n / Make / APIs / Webhooks / Python</strong> وغيرها.</p></li><li><p>دمج نماذج الذكاء الاصطناعي مثل OpenAI وClaude وGemini وغيرها عند الحاجة.</p></li><li><p>مراقبة الأنظمة واكتشاف الأعطال ومعالجتها.</p></li><li><p>إدارة التكامل بين الموقع والتطبيق والخدمات السحابية والأنظمة الخارجية.</p></li><li><p>تحسين الأداء والأمان والاستقرار وتقليل التدخل البشري قدر الإمكان.</p></li><li><p>توثيق الأنظمة والتكاملات المهمة لضمان سهولة إدارتها مستقبلاً.</p></li><li><p>تقييم الأدوات والتقنيات الجديدة واختيار الحل الأنسب من ناحية <strong>التكلفة والجودة وسهولة التشغيل</strong>.</p></li><li><p>تحمل مسؤولية الوصول إلى <strong>نتيجة نهائية تعمل فعلياً</strong> وليس مجرد كتابة كود أو تقديم اقتراحات</p></li></ul><p></p><p><strong>Requirements</strong></p><ul><li><p></p></li></ul><p><strong>ة</strong></p><p>نبحث عن شخص لديه خبرة عملية جيدة في مجموعة من المجالات التالية:</p><ul><li><p>Python وBackend Development.</p></li><li><p>REST APIs وWebhooks.</p></li><li><p>قواعد البيانات SQL أو NoSQL.</p></li><li><p>AI APIs وLLM Integration.</p></li><li><p>AI Agents وAutomation.</p></li><li><p>n8n أو Make أو أدوات مشابهة.</p></li><li><p>Git / GitHub.</p></li><li><p>Cloud Deployment وLinux.</p></li><li><p>فهم جيد لتطبيقات Web وMobile.</p></li><li><p>القدرة على التعامل مع React / Flutter أو التعاون معها عند الحاجة.</p></li><li><p>التكامل مع خدمات الدفع والإشعارات والمصادقة والطرف الثالث.</p></li><li><p>القدرة على تشخيص المشاكل التقنية وحلها بشكل مستقل.</p></li></ul><p></p>

<p>you will be responsible for the management, maintenance, and support of our Linux-based server environments. This role requires expertise in configuring and troubleshooting system issues, ensuring high availability and performance, and implementing best practices for security and efficiency. Key Responsibilities: Install, configure, and maintain Linux operating systems on physical and virtual servers. Monitor system performance, troubleshoot issues, and optimize server configurations for maximum efficiency. Implement and manage backups, disaster recovery, and security updates. Automate routine maintenance tasks using scripting languages (e.g., Bash, Python). Collaborate with development and network teams to ensure the seamless deployment and integration of applications. Provide technical support and guidance to users and IT staff regarding Linux systems. Maintain detailed documentation of system configurations, procedures, and changes. Participate in capacity planning and system upgrades, ensuring minimal downtime. Stay updated with the latest Linux technologies and industry trends.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Computer Science, Information Technology, or a related field. 4+ years of experience as a Linux Administrator or similar role. Strong knowledge of Linux operating systems (e.g., Red Hat, Ubuntu, CentOS). Experience with server management, monitoring, and troubleshooting. Proficiency in shell scripting and automation tools. Familiarity with networking concepts, security best practices, and cloud services. Excellent problem-solving skills and attention to detail. Strong communication skills, both verbal and written. Relevant certifications (e.g., RHCE, CompTIA Linux+) are a plus. #LI-RK1</p>

<p>Experience: 4-6 years ARABIC SPEAKING IS A MUST HAVE. MUST HAVE 4 6+ years building BI solutions end-to-end (data modeling visualization deployment) Strong hands-on skills in a major BI tool (Power BI, Tableau, or Qlik) expert-level in at least one Strong SQL (query optimization, stored procedures, complex joins) Data modeling experience (star schema, dimensional modeling) ETL/ELT experience building and troubleshooting data pipelines feeding BI layers Ability to gather requirements directly from business stakeholders and translate into dashboards/reports (this is the "consultant" half not just a report-builder) DAX or equivalent calculation-language proficiency (if Power BI-centric) GOOD TO HAVE Experience with Microsoft Fabric or similar unified analytics platforms Exposure to Python or R for advanced analytics feeding into BI layers Experience presenting to executive/C-level audiences Domain experience in operations/logistics/parking/municipal data Arabic language skills Familiarity with data governance/row-level security implementation Prior consulting background (used to client-facing engagements, scoping, and stakeholder management) Share</p><p><strong>Desired Candidate Profile</strong></p><p>ARABIC SPEAKING IS A MUST HAVE. MUST HAVE 4 6+ years building BI solutions end-to-end (data modeling visualization deployment) Strong hands-on skills in a major BI tool (Power BI, Tableau, or Qlik) expert-level in at least one Strong SQL (query optimization, stored procedures, complex joins) Data modeling experience (star schema, dimensional modeling) ETL/ELT experience building and troubleshooting data pipelines feeding BI layers Ability to gather requirements directly from business stakeholders and translate into dashboards/reports (this is the "consultant" half not just a report-builder) DAX or equivalent calculation-language proficiency (if Power BI-centric)</p><ul><li>Experience with Microsoft Fabric or similar unified analytics platforms</li><li>Exposure to Python or R for advanced analytics feeding into BI layers</li><li>Experience presenting to executive/C-level audiences</li><li>Domain experience in operations/logistics/parking/municipal data</li><li>Arabic language skills</li><li>Familiarity with data governance/row-level security implementation</li><li>Prior consulting background (used to client-facing engagements, scoping, and stakeholder management)</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Description: AI / ML Engineer Job Title: AI / ML Engineer Experience: 3 11 Years Location: Riyadh (Onsite) Employment Type: Full-Time Job Overview We are seeking a skilled AI / ML Engineer with 3 11 years of experience to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable. Key Responsibilities Design, develop, train, and deploy machine learning and deep learning models for enterprise applications. Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment. Develop Generative AI and LLM-powered applications using modern AI frameworks. Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions. Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security. Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation. Implement MLOps best practices including model versioning, monitoring, and CI/CD automation. Stay current with advancements in AI, machine learning, and cloud AI services. Required Technical Skills Cloud AI Platforms Hands-on experience with GCP Vertex AI or Azure Machine Learning or AWS SageMaker . Experience with Azure OpenAI or AWS Bedrock for Generative AI solutions. Experience with BigQuery ML and Dataflow for data processing and machine learning workflows. Programming &amp; Machine Learning Strong proficiency in Python . Experience developing machine learning solutions using TensorFlow or PyTorch . Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts. Generative AI &amp; LLM Frameworks Experience with Hugging Face and LangChain for building LLM-powered applications. Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred. Data Engineering &amp; Analytics Experience with Databricks for data engineering, model development, and analytics workflows. Strong understanding of data preprocessing, feature engineering, and large-scale data processing. MLOps &amp; Deployment Experience deploying machine learning models into production. Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage. Qualifications Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. 3 11 years of professional experience in AI, Machine Learning, or Data Science. Strong analytical, mathematical, and problem-solving skills. Experience working in Agile development environments. Excellent communication and collaboration skills. Preferred Skills Experience with Large Language Models (LLMs) and Generative AI applications. Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents. Experience with distributed model training and cloud-native AI architectures. Cloud certifications in AWS, Azure, or Google Cloud are a plus. Key Technology Stack Cloud AI: GCP Vertex AI or Azure Machine Learning or AWS SageMaker Generative AI: Azure OpenAI or AWS Bedrock and Large Language Models (LLMs) Data Processing: BigQuery ML and Dataflow and Databricks Programming: Python Machine Learning Frameworks: TensorFlow or PyTorch LLM Frameworks: Hugging Face or LangChain MLOps: Docker and Kubernetes and CI/CD (Preferred) Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Qualifications</h2><p>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.</p><p>3 11 years of professional experience in AI, Machine Learning, or Data Science.</p><p>Strong analytical, mathematical, and problem-solving skills.</p><p>Experience working in Agile development environments.</p><p>Excellent communication and collaboration skills.</p><h2>Preferred Skills</h2><p>Experience with Large Language Models (LLMs) and Generative AI applications.</p><p>Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents.</p><p>Experience with distributed model training and cloud-native AI architectures.</p><p>Cloud certifications in AWS, Azure, or Google Cloud are a plus.</p><p></p></section>

<p>Responsibilities</p><p>Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, validation, and delivery.</p><p>Build, schedule, and orchestrate production-grade data workflows using Apache Airflow .</p><p>Develop distributed data-processing jobs using Apache Spark .</p><p>Write efficient, reusable, and maintainable Python code for data processing, automation, and pipeline development.</p><p>Develop and optimize complex SQL queries for data transformation, analysis, and quality validation.</p><p>Design pipelines capable of processing large-scale structured, semi-structured, and unstructured datasets.</p><p>Implement Redis for caching, high-performance data access, and data-intensive application requirements.</p><p>Integrate data from APIs, relational databases, files, third-party providers, and other internal and external sources.</p><p>Implement data validation, monitoring, logging, error handling, alerting, and pipeline observability.</p><p>Optimize pipeline performance, data storage, processing time, and infrastructure costs.</p><p>Develop reusable data-ingestion and transformation frameworks instead of one-off scripts.</p><p>Troubleshoot pipeline failures, performance bottlenecks, and data-quality issues to ensure timely resolution.</p><p>Collaborate with BI, Product, Data Science, and Engineering teams to deliver reliable, production-ready datasets.</p><p>Establish and maintain data-engineering standards, technical documentation, and development best practices.</p><p>Preferred Qualification</p><p>Experience with cloud data platforms and object storage services such as AWS, Azure, or GCP .</p><p>Experience working with PostgreSQL , data warehouses, or analytical databases.</p><p>Experience processing geospatial data or large-scale location-based datasets.</p><p>Familiarity with DuckDB, Apache Sedona, Trino, Presto , or similar analytical technologies.</p><p>Experience processing high-volume event, mobility, transactional, or geospatial data.</p><p>Familiarity with CI/CD pipelines and infrastructure-as-code practices.</p><p>Experience supporting data products, analytics platforms, or AI/ML pipelines .</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Computer Science, Software Engineering, Data Science , or a related field.</p><p>4 6 years of professional experience in Data Engineering or a closely related role.</p><p>Strong hands-on experience designing and implementing production-grade ETL/ELT pipelines .</p><p>Strong proficiency in Python for data processing, automation, and data-engineering workflows.</p><p>Advanced SQL skills and a strong understanding of relational databases.</p><p>Practical production experience with Apache Airflow for workflow orchestration.</p><p>Hands-on experience with Apache Spark and distributed data processing.</p><p>Strong understanding of data modelling, transformation patterns, and data-pipeline architecture.</p><p>Experience with Redis , caching strategies, and high-performance data-access patterns.</p><p>Experience processing large datasets and optimizing pipeline and query performance.</p><p>Strong understanding of data quality, validation, monitoring, observability, and pipeline reliability.</p><p>Familiarity with Linux, Git, Docker/containers , and modern software-engineering practices.</p><p>Strong analytical, troubleshooting, communication, and cross-functional collaboration skills.</p>

<div><p>Own the end-to-end product data pipeline: ingestion from feeds and plugins, ML enrichment, moderation and publication, with clear SLAs for freshness, coverage and quality</p><p>Lead the ML roadmap for catalogue intelligence: category tree and attribute coverage, translation quality, ML-assisted moderation, item embeddings and recommendations</p><p>Lead large cross-team projects and drive them to production</p><p>Contribute to quarterly planning and roadmap definition; define and report OKRs for catalogue quality and personalisation</p><p>Review feature designs and ensure non-functional requirements are met, including ML evaluation, inference cost, latency and data residency</p><p>Build and maintain the evaluation and labeling infrastructure that lets the team measure every model change before it reaches production</p><p>Oversee technical debt management and incident handling across ML and backend services</p><p>Hire, evaluate, and motivate team members; grow ML engineers into owners of business outcomes</p><p>Build cross-team and cross-functional collaboration with Shopping, Offers, Monetisation, catalogue operations and partner support to increase efficiency</p><p>Foster a results- and business-oriented culture</p><p>Monitor key team performance indicators</p><p>Ensure process and delivery transparency for stakeholders and partner functions</p><p>Optimise processes to improve productivity</p></div><p><strong>Desired Candidate Profile</strong></p><div><p>6+ years of engineering experience, including 3+ years building production ML systems (NLP, LLM applications, embeddings, or classification at scale)</p><p>2+ years as an Engineering Manager or ML Team Lead at a fast-growing e-commerce, marketplace or fintech company</p><p>Hands-on experience shipping LLM-based products: prompt and pipeline design, fine-tuning, evaluation, cost and latency control, self-hosted and API-based models</p><p>Experience building and operating large-scale data and ML pipelines (batch and streaming), and making them observable, reproducible and reliable</p><p>Solid backend fundamentals; you are comfortable reviewing Go and Python services and reasoning about distributed systems</p><p>Our stack: Python, Go, PostgreSQL, Pub/Sub, BigQuery, GCS, Kubernetes, Google Cloud Platform, Airflow, and a microservices architecture</p><p>A strong grasp of ML evaluation: golden datasets, labeling workflows, offline metrics, and A/B testing tied to business outcomes</p><p>Product sense: you connect catalogue quality to conversion, discovery and merchant growth, and you can prioritise accordingly</p><p>A proactive mindset and the ability to work independently</p><p>Strong communication skills in English (B2 level or higher)</p><p>Nice to have: Experience with product catalogues, PIM systems, or marketplace content moderation</p><p>Experience with Arabic-language content</p><p>Familiarity with data residency and regulated-data requirements</p></div>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">Uplift People Consulting is seeking a Quantum Solutions Engineer specializing in Optimization or Machine Learning for a full-time position in Riyadh, Saudi Arabia. This role is with a global deep-tech client that develops neutral-atom quantum processors and software solutions for industrial and scientific applications. The position is part of the company's expansion in Saudi Arabia, contributing to a local Quantum Applications team.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Context and Focus</h3> <p style="margin:0 0 12px; ************;">This is an applied, client-facing role focused on solving industrial problems using quantum, classical, and hybrid methods. The successful candidate will translate advanced research into practical customer solutions, rather than engaging in purely academic research. The position is available across two specializations: <strong style="font-weight:700;">Quantum Optimization</strong> and <strong style="font-weight:700;">Machine Learning / Quantum Machine Learning</strong>.</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;">Translate complex industrial challenges into mathematical optimization or machine-learning problems.</li> <li style="margin:0 0 6px;">Deliver customer projects from technical discovery and feasibility assessment through solution development and handover.</li> <li style="margin:0 0 6px;">Build and test quantum, classical, and hybrid approaches using Python, emulators, HPC resources, and quantum processors.</li> <li style="margin:0 0 6px;">Establish strong classical baselines and evaluate whether a quantum approach offers a realistic advantage.</li> <li style="margin:0 0 6px;">Collaborate with customers, domain experts, scientists, software engineers, and hardware teams.</li> <li style="margin:0 0 6px;">Produce maintainable code, technical documentation, and clear customer-facing results.</li> <li style="margin:0 0 6px;">Take ownership of project milestones, technical risks, and deliverables.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications and Experience</h3> <p style="margin:0 0 12px; ************;">Candidates should possess 5-10 years of experience and a strong background in one of the following areas:</p> <ol style="margin:0 0 12px; padding-inline-start:24px; list-style-type:decimal; list-style-position:outside;"> <li style="margin:0 0 6px;"><strong style="font-weight:700;">Optimization Track:</strong> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Combinatorial optimization, operations research, or applied mathematics.</li> <li style="margin:0 0 6px;">Mathematical modeling and algorithm development.</li> <li style="margin:0 0 6px;">Experience with scheduling, routing, logistics, graph, or resource-allocation problems.</li> </ul> </li> <li style="margin:0 0 6px;"><strong style="font-weight:700;">Machine Learning Track:</strong> <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 experience building end-to-end ML pipelines.</li> <li style="margin:0 0 6px;">Experience with graph machine learning, graph neural networks, or related methods.</li> <li style="margin:0 0 6px;">Proficiency in research-to-production implementation and model benchmarking.</li> </ul> </li> </ol> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">General Skills and Attributes</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 Python and software-engineering practices.</li> <li style="margin:0 0 6px;">Experience evaluating and benchmarking algorithms.</li> <li style="margin:0 0 6px;">Ability to connect theoretical concepts with practical applications.</li> <li style="margin:0 0 6px;">Confidence working directly with customers and international technical teams.</li> <li style="margin:0 0 6px;">Willingness to be based in Riyadh and work from the office two to three days per week.</li> </ul> <p style="margin:0 0 12px; ************;">Experience in energy, logistics, industrial optimization, HPC, or advanced computing is considered an advantage. An initial training period with technical teams in France may be offered, depending on the candidate’s background.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Application Process</h3> <p style="margin:0 0 12px; ************;">Further details regarding the application process will be provided upon inquiry. Salary for this position is not disclosed.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><div><span ><b>What You Will Build</b></span></div><div><span >➤ Production AI agents using Microsoft Foundry Agent Service: multi-agent workflows, hosted agents, memory, observability, identity integration, secure endpoints, and deployment</span></div><div><span ><br></span></div><div><span >➤ Knowledge-grounded experiences using Azure AI Search and retrieval-augmented generation, including vectors, keyword-searchable, hybrid, semantic-ranking and enterprise-permissioned retrieval (When do we need vectorization and when we don’t, when to create handovers between agents, when to rely on the model’s context window, when to finetune and when to use RAG)</span></div><div><span ><br></span></div><div><span >➤ Deterministic, source-grounded extraction: pipelines that pull figures and facts straight from documents without hallucinating, attaching citations, provenance and uncertainty flags to every claim so outputs are auditable</span></div><div><span ><br></span></div><div><span >➤ Tool-using agents that execute secure actions through Model Context Protocol (MCP), Azure Logic Apps, Azure Functions, and custom APIs</span></div><div><span ><br></span></div><div><span >➤ Model-optimized applications using Foundry Models and the model router, balancing quality, latency, and cost</span></div><div><span ><br></span></div><div><span >➤ Enterprise-safe systems with prompt shielding, grounded Ness checks, and content-safety enforcement</span></div><div><span ><br></span></div><div><span >➤ Reusable reference agents, connectors, and evaluation templates that ship into our UseCaseLibrary and accelerate delivery across the region</span></div><div><span ><br></span></div><div><span >What You Will Do</span></div><div><span >➤ Translate business opportunities into robust, production-ready agent architectures</span></div><div><span >➤ Build pro-code AI agents using Python (FastAPI, Streamlit, Scraping, Serialization, etc..), .NET React.js with the Microsoft Agent Framework (Knowing Langgraph/Langchain/Semantic Kernel is an edge)</span></div><div><span >➤ Lead the design of multi-agent orchestration and agentic design patterns, including planning, routing, and human-in-the-loop patterns, on the team's most complex builds (understanding distributed systems is a plus)</span></div><div><span >➤ Review architecture and delivery plans from other AI Engineers before build starts, and act as a technical escalation point during delivery</span></div><div><span >➤ Design and maintain the delivery lifecycle for agents already in production — evaluation, telemetry, logging, safety, and CI/CD pipelines — using GitHub Actions and pipeline YAML, with infrastructure-as-code (Bicep or Terraform) a plus</span></div><div><span >➤ Familiarity with networking concepts — VNets, subnets, private endpoints (and private DNS), NSGs, and firewall / allow listing — for deploying AI services securely inside an enterprise tenant.</span></div><div><span >➤ Familiarity with data engineering and pre-processing — parsing, cleaning, normalization, deduplication and schema creation and engineering/validation (for quantitative and qualitative metrics) — so the data feeding agents and retrieval is clean, typed and reliable.</span></div><div><span >➤ Understanding model capabilities, benchmarks and limitations — and how to work around them: training-data knowledge cut-off, prompt-injection, context and harness engineering, retrieval grounding, and fine-tuning.</span></div><div><span >➤ Set and maintain the reference patterns and reusable components other engineers build from</span></div><div><span >➤ Mentor AI Engineers, including colleagues moving into the role through our internal upskilling path</span></div><div><span >➤ Support presales and customer proposals with technical input on feasibility and solution design</span></div><div><span ><br></span></div><div><span >What You Bring</span></div><div><span >➤ Significant hands-on experience building production AI agents or AI-infused applications, not just prototypes</span></div><div><span >➤ Strong software engineering skills in Python or .NET, including modern cloud-integration patterns</span></div><div><span >➤ Hands-on experience with Microsoft Foundry: projects, SDKs, models, the model router, hosted agents, and Foundry tools</span></div><div><span >➤ Demonstrable experience building complete agentic workflows in Foundry Agent Service, including tool invocation and deployment</span></div><div><span >➤ Deep understanding of Azure AI Search and retrieval-augmented generation patterns, including vector, hybrid, and multimodal retrieval</span></div><div><span >➤ Practical experience implementing AI safety features: prompt shields, grounded Ness checks, and sensitive-content filters</span></div><div><span >➤ Experience with Azure Logic Apps, Azure Functions, Model Context Protocol (MCP) tools, and secure enterprise integrations</span></div><div><span >➤ Strong understanding of Microsoft Entra ID and enterprise governance best practice</span></div><div><span >➤ Experence reviewing other engineers' technical work and giving direct, constructive feedback</span></div><div><span >➤ Daily proficiency with GitHub Copilot, including effective use of GitHub Copilot Chat in real development work</span></div><div><span >➤ Comfort with CI/CD pipelines, telemetry, evaluation metrics, and iterative delivery</span></div><div><span >➤ Backend and streaming services: designing and operating asynchronous APIs (FastAPI/ASGI, or ASP.NET) with streaming responses, middleware, and clean configuration and secrets handling</span></div><div><br></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>NA</p><p></p></section>

<h3 >About the Role</h3> <p >CareerFirst Company is seeking a <strong >Business Intelligence Analyst</strong> to join its team in Riyadh, Saudi Arabia. This full-time position is central to transforming raw data into actionable business insights, supporting strategic decision-making across the organization.</p> <h3 >Role Summary</h3> <p >The Business Intelligence Analyst will be responsible for the end-to-end process of designing, building, and maintaining interactive dashboards, analytical models, and robust reporting systems. This role requires an analytical and detail-oriented professional capable of ensuring data accuracy and delivering clear findings to leadership.</p> <h3 >Key Responsibilities</h3> <ul > <li >Design, build, and maintain interactive business intelligence (BI) dashboards and reports using tools such as Power BI or Tableau.</li> <li >Query, extract, clean, and transform complex datasets from disparate systems utilizing SQL and ETL pipelines.</li> <li >Collaborate with cross-functional teams to define Key Performance Indicators (KPIs) and operational metrics relevant to business objectives.</li> <li >Ensure data accuracy, integrity, and consistency across all reporting layers and tools used within the organization.</li> <li >Conduct exploratory data analysis to identify trends, patterns, and operational bottlenecks, presenting findings clearly to leadership.</li> </ul> <h3 >Required Qualifications</h3> <ul > <li ><strong>Education:</strong> Bachelor’s Degree in Information Technology, Computer Science, Data Science, Information Systems, or a related field.</li> <li ><strong>Experience:</strong> A minimum of 4 years of hands-on experience in data analysis, business intelligence (BI), or data engineering.</li> </ul> <h3 >Technical Skills</h3> <ul > <li >High proficiency in SQL for data extraction and manipulation.</li> <li >Expert-level skill in BI tools such as Power BI, Tableau, or QlikView.</li> <li >Strong knowledge of data warehousing concepts, ETL processes, and database architecture.</li> <li >Familiarity with Python or R for data analysis is considered a plus.</li> </ul> <h3 >Application Information</h3> <p >Candidates who meet the qualifications and are interested in this full-time Business Intelligence Analyst position with CareerFirst Company in Riyadh are encouraged to apply.</p>