Python Developer Jobs - Riyadh Saudi

<h2 ><span lang="ar" dir="rtl">اعلان شركة تابي عن وظيفة مهندس مكتب الخدمة والدعم الفني (Service Desk Engineer)</span></h2><h3 ><span lang="ar" dir="rtl">الوصف الوظيفي</span></h3><p ><span lang="ar" dir="rtl">يكون مهندس مكتب الخدمة مسؤولاً عن دعم المستخدمين والفرق الداخلية من خلال معالجة الطلبات والمشكلات التقنية، وتحليل الأعطال، وتحسين العمليات الداخلية، والمساهمة في تطوير الأدوات والحلول التقنية التي تساعد على رفع الكفاءة التشغيلية وأتمتة المهام المتكررة.</span></p><h3 ><span lang="ar" dir="rtl">المهام والمسؤوليات</span></h3><ul><li><p ><span lang="ar" dir="rtl">استقبال ومعالجة الطلبات الواردة من فرق الدعم والزملاء وإجراء التحليل الأولي للمشكلات التقنية.</span></p></li><li><p ><span lang="ar" dir="rtl">تحديد الأخطاء البرمجية والإبلاغ عنها للفرق المختصة.</span></p></li><li><p ><span lang="ar" dir="rtl">توحيد الحلول التقنية وإعداد وتحديث الوثائق والإرشادات الخاصة بفرق الدعم الفني من المستوى الأول والثاني.</span></p></li><li><p ><span lang="ar" dir="rtl">تحليل المشكلات التقنية وتحويلها إلى مهام تطويرية لمعالجتها وتنفيذ الحلول المناسبة.</span></p></li><li><p ><span lang="ar" dir="rtl">المساهمة في تطوير وتحسين الأدوات والأنظمة الداخلية وعمليات التشغيل.</span></p></li><li><p ><span lang="ar" dir="rtl">المشاركة في أتمتة العمليات والمهام الروتينية لتحسين الكفاءة وتقليل العمل اليدوي.</span></p></li><li><p ><span lang="ar" dir="rtl">متابعة المشكلات التقنية وضمان حلها وفق الإجراءات والمعايير المعتمدة.</span></p></li></ul><h3 ><span lang="ar" dir="rtl">المؤهلات والمتطلبات</span></h3><ul><li><p ><span lang="ar" dir="rtl">خبرة عملية في استخدام نظام Jira لإدارة المهام والتذاكر.</span></p></li><li><p ><span lang="ar" dir="rtl">مهارات تواصل قوية والقدرة على متابعة التذاكر وإدارة عمليات الحل بكفاءة.</span></p></li><li><p ><span lang="ar" dir="rtl">القدرة على العمل باستقلالية وتحمل المسؤولية والمبادرة في حل المشكلات.</span></p></li><li><p ><span lang="ar" dir="rtl">خبرة في استخدام أدوات المراقبة وتسجيل الأحداث مثل Datadog وGrafana وKibana.</span></p></li><li><p ><span lang="ar" dir="rtl">معرفة عملية بأدوات أتمتة المهام الإدارية.</span></p></li><li><p ><span lang="ar" dir="rtl">إجادة اللغة الإنجليزية بمستوى يسمح بالتواصل الكتابي وقراءة الوثائق التقنية (B2 أو أعلى).</span></p></li><li><p ><span lang="ar" dir="rtl">فهم جيد لمبادئ تطوير البرمجيات ودورة حياة الأنظمة.</span></p></li><li><p ><span lang="ar" dir="rtl">القدرة على كتابة استعلامات SQL بسيطة واستخدامها في تحليل البيانات.</span></p></li></ul><h3 ><span lang="ar" dir="rtl">مؤهلات إضافية مفضلة</span></h3><ul><li><p ><span lang="ar" dir="rtl">خبرة في منصة Google Cloud.</span></p></li><li><p ><span lang="ar" dir="rtl">خبرة في Google Apps Script.</span></p></li><li><p ><span lang="ar" dir="rtl">مهارات برمجية في Bash أو Python أو Go.</span></p></li><li><p ><span lang="ar" dir="rtl">فهم لممارسات وإجراءات ITIL.</span></p></li><li><p ><span lang="ar" dir="rtl">معرفة أساسية بقطاع التقنية المالية (FinTech).</span></p></li><li><p ><span lang="ar" dir="rtl">خبرة في إدارة وإعداد نظام Jira.</span></p></li><li><p ><span lang="ar" dir="rtl">خبرة سابقة في بيئات الشركات الناشئة (Startups).</span></p></li></ul><h3 ><span lang="ar" dir="rtl">المهارات المطلوبة</span></h3><ul><li><p ><span lang="ar" dir="rtl">حل المشكلات والتحليل الفني.</span></p></li><li><p ><span lang="ar" dir="rtl">التفكير المنطقي والقدرة على استكشاف الأعطال.</span></p></li><li><p ><span lang="ar" dir="rtl">العمل الجماعي والتواصل الفعال.</span></p></li><li><p ><span lang="ar" dir="rtl">إدارة الوقت وتحديد الأولويات.</span></p></li><li><p ><span lang="ar" dir="rtl">القدرة على التعلم السريع والتكيف مع التقنيات الجديدة.</span></p></li><li><p ><span lang="ar" dir="rtl">الاهتمام بالتفاصيل وتحسين العمليات التشغيلية.</span></p></li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking an AI Solution Architect to translate complex banking business needs into scalable, secure enterprise AI system blueprints. This role owns end-to-end technical delivery from high-level design through production deployment while ensuring every solution aligns with the demands of a highly regulated financial IT landscape.</p><p>Key Responsibilities</p><ul><li>Design high-level and low-level architectures for banking AI applications</li><li>Securely integrate modern AI applications with core banking systems and databases</li><li>Evaluate and select optimal LLMs, vector stores, and machine learning platforms</li><li>Ensure enterprise-grade high availability, low latency, and system scalability</li><li>Embed financial regulatory compliance, risk mitigation, and data privacy into every design decision</li><li>Partner with engineering, security, and platform teams through the full delivery lifecycle</li></ul><p>8+ years in enterprise IT, including 3+ years architecting AI solutions specifically within banking/financial services</p><p>Hands-on experience with AI &amp; data platforms: DataRobot, SAS Enterprise Guide, and open-source LLM frameworks</p><p>Strong grounding in architecture patterns: microservices, API gateways, event-driven architecture, secure banking cloud landing zones</p><p>CI/CD &amp; MLOps proficiency: GitLab CI/CD, Docker, Kubernetes, MLflow, automated model testing frameworks</p><p>Advanced Python skills Pandas, NumPy, Matplotlib, Seaborn, LangChain, LlamaIndex</p><p>Strong communication skills to translate technical architecture into business-relevant terms for stakeholders</p><p>Why Join Us</p><ul><li>Architect enterprise-scale AI solutions inside a live banking transformation program</li><li>Own technical decisions from blueprint to production real build authority, not just advisory</li><li>Work at the intersection of cutting-edge AI and strict financial-sector compliance</li><li>Be part of a forward-looking organization driving AI-led transformation in the region</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>8+ years in enterprise IT, including 3+ years architecting AI solutions specifically within banking/financial services</p><p>Hands-on experience with AI &amp; data platforms: DataRobot, SAS Enterprise Guide, and open-source LLM frameworks</p><p>Strong grounding in architecture patterns: microservices, API gateways, event-driven architecture, secure banking cloud landing zones</p><p>CI/CD &amp; MLOps proficiency: GitLab CI/CD, Docker, Kubernetes, MLflow, automated model testing frameworks</p><p>Advanced Python skills Pandas, NumPy, Matplotlib, Seaborn, LangChain, LlamaIndex</p><p>Strong communication skills to translate technical architecture into business-relevant terms for stakeholders</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We re looking for a Computer Vision Engineer to join a growing team building LiDAR-based perception systems real-world 3D sensing solutions that power physical products, not just demos. This is a hands-on role: you ll take vision and sensing systems from prototype to production, working closely with hardware and firmware teams to get sensors, calibration, and algorithms working together reliably in the field. What You ll Do Design, build, and deploy computer vision pipelines for real-time detection, tracking, or 3D reconstruction Work with camera and/or depth sensor data (RGB, depth cameras, LiDAR) calibration, synchronization, and data quality Optimize models and pipelines for edge deployment (latency, memory, compute constraints) Integrate vision systems with hardware/firmware teams to bring solutions from prototype to production Build and maintain inference services (e.g., containerized APIs) with clean CI/CD practices Debug field issues across the stack from sensor hardware quirks to model performance Document system architecture and processes clearly for cross-functional teams</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Must-haves: 3 5 years of experience in computer vision or applied ML engineering Strong Python skills; comfortable with OpenCV and standard CV/ML libraries Experience with real-time or near-real-time processing pipelines Solid Linux systems knowledge comfortable working outside a pure notebook/dev environment Experience deploying models to production (Docker, APIs, cloud or edge) Strong problem-solving instincts when things break in the real world, not just in code</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Drive the development and implementation of AI use cases across our organization. Lead the technical execution of high-impact projects, transforming business requirements into scalable AI features for both internal and external products. Operate with a high degree of autonomy, owning the full development lifecycle. Lead projects technically, set high architectural standards, and mentor others.</p><p>Key Responsiblities:</p><ul><li>Own the execution of AI initiatives from ideation and data preparation to deployment and scaling.</li><li>Design and optimize Generative AI solutions, including RAG architectures and LLM integrations, to solve real-world automation and intelligence challenges.</li><li>Design and optimize Generative AI solutions, including RAG architectures and LLM integrations, to solve real-world automation and intelligence challenges.</li><li>Design and manage efficient data flows and pipelines to ensure AI models are backed by robust, production-ready data.</li><li>Take ownership of the technical roadmap for specific use cases, ensuring best practices in code quality, system reliability, and performance.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s degree in computer science, artificial intelligence, IT or a similar field.</li><li>+3 years of professional experience in AI Engineering, Machine Learning, or a closely related software engineering field.</li><li>Proven expertise in Generative AI (LLMs, RAG, and prompt engineering).</li><li>Strong foundation in Traditional ML (classification, regression, and predictive analytics).</li><li>Expert proficiency in Python and experience with modern data science libraries.</li><li>Experience working within cloud ecosystems and data warehouses to manage large-scale datasets and orchestrate data flows.</li><li>A track record of moving projects from prototype to production, ensuring they are scalable and reliable for end-users.</li><li>Strong understanding of containerization (e.g., Docker) and AI deployment lifecycles is a significant advantage.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Description: Data Science &amp; Analytics Engineer Job Title: Data Science &amp; Analytics Engineer Experience: 3 11 Years Location: Riyadh - Onsite Employment Type: Full-Time Job Overview We are looking for a talented Data Science &amp; Analytics Engineer with 3 11 years of experience to transform complex data into actionable business insights. The ideal candidate will have expertise in data science, statistical analysis, predictive modeling, data visualization, and modern analytics platforms. You will work closely with business stakeholders, data engineers, and technology teams to develop data-driven solutions that support strategic decision-making. Key Responsibilities Design, develop, and deploy predictive and analytical models to solve business problems. Perform data exploration, statistical analysis, feature engineering, and model evaluation. Build interactive dashboards, reports, and visualizations for business stakeholders. Develop scalable data analytics solutions using modern cloud and big data platforms. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Analyze structured and unstructured datasets to identify trends, patterns, and opportunities. Ensure data quality, governance, and best practices across analytics initiatives. Present analytical findings and recommendations to technical and non-technical audiences. Continuously improve analytics processes, reporting capabilities, and model performance. Required Technical Skills Programming &amp; Data Science Strong proficiency in Python or R for data analysis, statistical modeling, and machine learning. Experience with data manipulation, exploratory data analysis (EDA), and predictive analytics. Data Science Platforms Hands-on experience with Databricks or Dataiku for data science, machine learning, and collaborative analytics. Experience developing end-to-end analytical workflows and model deployment. Business Intelligence &amp; Visualization Strong experience with Power BI or Tableau or Looker for dashboard development and data visualization. Ability to create interactive reports and executive-level dashboards. Data Warehousing &amp; Analytics Experience with BigQuery or Snowflake for large-scale analytics and data warehousing. Strong understanding of SQL, data modeling, and analytical query optimization. Analytics &amp; Machine Learning Experience with statistical analysis, forecasting, classification, clustering, and regression models. Familiarity with machine learning libraries and model evaluation techniques. Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field. 3 11 years of professional experience in Data Science, Business Analytics, or Advanced Analytics. Strong analytical, mathematical, and problem-solving skills. Excellent communication and presentation skills. Experience working in Agile/Scrum environments. Preferred Skills Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of MLOps, model deployment, and AI-driven analytics. Experience with ETL/ELT processes and data engineering concepts. Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage. Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus. Key Technology Stack Programming Languages: Python or R Data Science Platforms: Databricks or Dataiku Business Intelligence: Power BI or Tableau or Looker Data Warehouse: BigQuery or Snowflake Analytics: Statistical Analysis and Predictive Modeling and Machine Learning and Data Visualization Cloud Platforms: AWS or Microsoft Azure or Google Cloud Platform (Preferred) Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h3>Qualifications</h3><p>Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field. 3 11 years of professional experience in Data Science, Business Analytics, or Advanced Analytics. Strong analytical, mathematical, and problem-solving skills. Excellent communication and presentation skills. Experience working in Agile/Scrum environments.</p><h3>Preferred Skills</h3><p>Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of MLOps, model deployment, and AI-driven analytics. Experience with ETL/ELT processes and data engineering concepts. Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage. Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus.</p><p></p></section>

<p><strong>Job Overview</strong></p><p>We are seeking a motivated AI Engineer to join our dynamic team in Saudi Arabia.&nbsp;</p><p>This internship-focused role provides hands-on experience in designing, developing, and deploying AI-powered solutions that address real-world business challenges.</p><p>You will work closely with data scientists, software engineers, and product managers to deliver scalable, production-ready AI systems while gaining exposure to cutting-edge technologies and industry best practices.</p><p>&nbsp;</p><p><strong>About the Company</strong></p><p>We are a forward-thinking technology firm dedicated to leveraging artificial intelligence to transform industries.&nbsp;</p><p>Our culture emphasizes innovation, collaboration, and continuous learning.&nbsp;</p><p>We offer a supportive environment for interns to grow their technical capabilities and contribute to meaningful projects across various domains.</p><p>&nbsp;</p><p><strong>Key Responsibilities</strong></p><ul><li>Assist in researching, prototyping, and implementing AI/ML models aligned with business goals.</li><li>Prepare and process datasets, perform data cleaning, feature engineering, and exploratory data analysis.</li><li>Develop and optimize machine learning pipelines and APIs for deployment.</li><li>Collaborate with software engineers to integrate AI components into front-end and back-end systems.</li><li>Participate in model evaluation, testing, and benchmarking to ensure reliability and performance.</li><li>Document experiments, results, and technical specifications for reproducibility.</li><li>Contribute to the development of technical roadmaps and best practices for AI initiatives.</li><li>Stay updated with the latest AI/ML research and tools; share insights with the team.</li></ul><p>&nbsp;</p><p><strong>Qualifications and Requirements</strong></p><ul><li>Currently pursuing or recently completed a Bachelor's degree in Computer Science, Electrical Engineering, Data Science, AI/ML, or a related field (internship candidate status).</li><li>Fundamental understanding of machine learning concepts, algorithms, and evaluation metrics.</li><li>Proficiency in at least one programming language commonly used in AI (Python preferred).&lt; /li&gt;</li><li>Experience with data processing libraries (NumPy, pandas) and ML frameworks (scikit-learn, TensorFlow, PyTorch).</li><li>Familiarity with data visualization tools and techniques.</li><li>Basic knowledge of cloud services (e.g., AWS, Azure, or GCP) and containerization (Docker) is a plus.</li><li>Strong problem-solving skills, curiosity, and a collaborative mindset.</li><li>Excellent communication skills in English; Arabic language proficiency is a plus.</li></ul><p>&nbsp;</p><p><strong>Required Skills</strong></p><ul><li>Python programming</li><li>Machine learning fundamentals</li><li>Data preprocessing and feature engineering</li><li>Model development and evaluation</li><li>Version control (Git)</li><li>Ability to work in cross-functional teams</li></ul><p>&nbsp;</p><p><strong>Benefits and Perks</strong></p><ul><li>Structured internship program with paired mentors and regular feedback.</li><li>Hands-on project experience with potential for full-time opportunities.</li><li>Exposure to cloud platforms, ML tooling, and modern development practices.</li><li>Competitive stipend and relocation support where applicable.</li><li>Professional development resources, training sessions, and networking opportunities.</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking an experienced Data Developer to design, develop, and optimize enterprise data platforms, data warehouses, analytics solutions, and business intelligence applications. The ideal candidate will have expertise in data engineering, database development, reporting, cloud data platforms, and AI-enabled analytics to support enterprise decision-making and digital transformation initiatives.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain scalable data pipelines and enterprise data solutions.</li><li>Build and optimize data warehouses, data marts, and analytical data models.</li><li>Develop interactive dashboards, reports, and visualizations for business stakeholders.</li><li>Design, optimize, and maintain relational and cloud-based databases.</li><li>Develop SQL queries, stored procedures, and database objects for high-performance data processing.</li><li>Implement ETL/ELT processes and data integration workflows.</li><li>Collaborate with business analysts, data engineers, architects, and application teams to deliver data-driven solutions.</li><li>Ensure data quality, security, governance, and performance across enterprise platforms.</li><li>Troubleshoot and optimize database performance and reporting solutions.</li><li>Prepare technical documentation and follow enterprise data management best practices.</li></ul><p>Must-Have Skills</p><ul><li>Experience with Snowflake or comparable cloud data warehouse platforms.</li><li>Experience with Power BI OR Tableau for business intelligence and data visualization.</li><li>Strong experience with PostgreSQL OR Microsoft SQL Server .</li><li>Experience with Redis or comparable in-memory caching technologies.</li><li>Experience with Dataiku DSS OR Vertex AI for advanced analytics, AI, and data science workflows.</li><li>Strong knowledge of SQL , database design, and query optimization.</li><li>Experience developing ETL/ELT pipelines and enterprise data integration solutions.</li><li>Strong understanding of data modeling, data warehousing, and analytics concepts.</li></ul><p>Good to Have</p><ul><li>Experience with Azure Synapse OR Google BigQuery OR Amazon Redshift .</li><li>Experience with Databricks OR Apache Spark .</li><li>Experience with Apache Airflow OR Azure Data Factory OR dbt .</li><li>Knowledge of Python for data engineering and automation.</li><li>Experience with Git , CI/CD pipelines, and DevOps practices.</li><li>Understanding of data governance, metadata management, and data quality frameworks.</li><li>Experience with cloud platforms such as Microsoft Azure , AWS , or Google Cloud Platform (GCP) .</li></ul><p>Qualifications</p><ul><li>Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Data Science, Software Engineering, or a related field.</li><li>3 12+ years of experience in data engineering, database development, business intelligence, or enterprise data platform development.</li></ul><p>Preferred Skills</p><ul><li>Experience designing enterprise data warehouse and analytics architectures.</li><li>Experience delivering cloud-based data modernization and digital transformation projects.</li><li>Strong analytical and problem-solving skills.</li><li>Experience working in Agile/Scrum environments.</li><li>Excellent communication, documentation, and stakeholder management skills.</li><li>Ability to optimize data platforms for scalability, reliability, and performance.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Data Science, Software Engineering, or a related field.</li><li>3 12+ years of experience in data engineering, database development, business intelligence, or enterprise data platform development.</li><li>Experience designing enterprise data warehouse and analytics architectures.</li><li>Experience delivering cloud-based data modernization and digital transformation projects.</li><li>Strong analytical and problem-solving skills.</li><li>Experience working in Agile/Scrum environments.</li><li>Excellent communication, documentation, and stakeholder management skills.</li><li>Ability to optimize data platforms for scalability, reliability, and performance.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We're Hiring: DevOps Engineer (6-Month Extendable Contract) | Riyadh, Saudi Arabia Immediate joiners ONLY: Targeting Candidates Available to Start Next Wee We are supporting a leading consulting firm in Saudi Arabia on a project with a major government ministry. They are looking for an experienced DevOps Engineer to join immediately. Location: Riyadh, Saudi Arabia (On-site)Duration: 6 months (extendable)Start: Immediate Joiner Required Key Responsibilities: Implement and maintain CI/CD pipelines for secure, continuous deployments Work within air-gapped MoD environments Automate configuration and container hardening using Ansible and Bash/Python Manage builds, deployments, and YAML manifests Perform environment validations and handle secrets management via Vault Troubleshoot enterprise-scale pipeline issues Must-Have Skills: GitLab CI/CD OpenShift and kuberentes knowldge is very crucial. Helm Docker / Podman Ansible Bash / Python scripting Secrets management (HashiCorp Vault) Transferable Iqama ONLY apply if you meet all the Must have skills Interested? Send your CV to AEMAIL_ADDRESS</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Implement and maintain CI/CD pipelines for secure, continuous deployments Work within air-gapped MoD environments Automate configuration and container hardening using Ansible and Bash/Python Manage builds, deployments, and YAML manifests Perform environment validations and handle secrets management via Vault Troubleshoot enterprise-scale pipeline issues Must-Have Skills: GitLab CI/CD OpenShift and kuberentes knowldge is very crucial. Helm Docker / Podman Ansible Bash / Python scripting Secrets management (HashiCorp Vault) Transferable Iqama ONLY apply if you meet all the Must have skills</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Responsibilities</strong></p> <ul> <li><strong>Vendors/Clients Account Management:</strong> Act as the main point of contact for vendors and clients, handle their requests, and coordinate with internal teams to resolve issues.</li> <li><strong>Product Catalog Monitoring:</strong> Ensure all product information is accurate and up to date, and flag any inconsistencies or missing data.</li> <li><strong>Technical Support:</strong> Investigate and understand technical issues, clearly describe and report them to the development team, and test fixes once implemented.</li> <li><strong>Cross-Team Collaboration:</strong> Work closely with product and engineering teams and participate in Agile activities.</li> <li><strong>Documentation &amp; Reporting:</strong> Assist in documenting product features and tracking recurring issues or feedback from vendors/clients.<br><br></li> </ul> <p><strong>Requirements</strong></p> <ul> <li>Previous experience in a similar role (account management, product operations, or technical support).</li> <li>Basic understanding of software development concepts .e.g Agile.</li> <li>Familiarity with tools like Jira, Trello, Zendesk/Freshdesk, or Postman.</li> <li>Some coding knowledge (e.g., JavaScript, Python, or SQL) is a plus.</li> <li>Strong communication skills and attention to detail.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Previous experience in a similar role (account management, product operations, or technical support).</p> <p>Basic understanding of software development concepts .e.g Agile.</p> <p>Familiarity with tools like Jira, Trello, Zendesk/Freshdesk, or Postman.</p> <p>Some coding knowledge (e.g., JavaScript, Python, or SQL) is a plus.</p> <p>Strong communication skills and attention to detail.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for a talented Full Stack Developer with 3 11 years of experience in designing, developing, and maintaining scalable web applications. The ideal candidate should have strong expertise across both frontend and backend technologies, experience building RESTful APIs, and a solid understanding of modern software development practices.</p><p>Key Responsibilities</p><ul><li>Design, develop, test, and maintain full-stack web applications.</li><li>Build responsive, high-performance user interfaces using modern JavaScript frameworks.</li><li>Develop secure and scalable backend services and RESTful APIs.</li><li>Collaborate with product managers, designers, QA engineers, and DevOps teams to deliver high-quality software.</li><li>Optimize application performance, scalability, and security.</li><li>Write clean, maintainable, and reusable code following industry best practices.</li><li>Participate in code reviews and mentor junior developers where applicable.</li><li>Troubleshoot production issues and implement timely fixes.</li><li>Work within Agile/Scrum development methodologies.</li></ul><p>Required Technical Skills</p><p>Frontend</p><ul><li>Strong experience with React.js or Next.js or Vue.js .</li><li>Experience with Webpack or comparable frontend build tools/frameworks .</li><li>Strong knowledge of HTML5, CSS3, JavaScript (ES6+), and TypeScript.</li><li>Experience building responsive and cross-browser compatible applications.</li></ul><p>Backend</p><ul><li>Hands-on experience with one or more of the following backend technologies: Java and Spring Boot Node.js .NET Python and Django Ruby on Rails PHP or comparable backend technologies</li></ul><p>Database</p><ul><li>Experience with relational databases such as PostgreSQL, MySQL, or SQL Server.</li><li>Knowledge of NoSQL databases such as MongoDB is a plus.</li></ul><p>APIs &amp; Integration</p><ul><li>Experience designing and consuming RESTful APIs.</li><li>Familiarity with GraphQL is an advantage.</li><li>Experience with authentication and authorization mechanisms (OAuth, JWT, SSO).</li></ul><p>DevOps &amp; Tools</p><ul><li>Git/GitHub/GitLab/Azure DevOps.</li><li>CI/CD pipelines.</li><li>Docker and Kubernetes are a plus.</li><li>Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) is preferred.</li></ul><p>Qualifications</p><ul><li>Bachelor's degree in Computer Science, Software Engineering, or a related field.</li><li>3 11 years of professional experience in full-stack software development.</li><li>Strong problem-solving and analytical skills.</li><li>Excellent communication and teamwork abilities.</li><li>Experience working in Agile development environments.</li></ul><p>Preferred Skills</p><ul><li>Microservices architecture.</li><li>Unit testing and integration testing frameworks.</li><li>Performance optimization and application security.</li><li>Experience with containerized and cloud-native applications.</li><li>Familiarity with messaging systems such as Kafka or RabbitMQ is an added advantage.</li></ul><p>Key Technology Stack</p><ul><li>Frontend: React.js or Next.js or Vue.js and Webpack or comparable frontend frameworks/build tools</li><li>Backend: Java and Spring Boot or Node.js or .NET or Python and Django or Ruby on Rails or PHP or comparable backend technologies</li><li>Databases: PostgreSQL or MySQL or SQL Server or MongoDB</li><li>Cloud: AWS or Azure or Google Cloud Platform</li><li>Version Control: Git, GitHub, GitLab</li><li>Containerization: Docker, Kubernetes (Preferred)</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Computer Science, Software Engineering, or a related field.</p><p>3 11 years of professional experience in full-stack software development.</p><p>Strong problem-solving and analytical skills.</p><p>Excellent communication and teamwork abilities.</p><p>Experience working in Agile development environments.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a skilled and detail-oriented Senior FullStack Developer to support a transformative Generative AI (GenAI) initiative. You will design and build scalable infrastructure, APIs, and user interfaces that power advanced AI models. Collaboration with GenAI developers and stakeholders will be key to delivering high-performance, maintainable systems. • 5–7 years of hands-on experience in full stack development with a strong focus on Python and Gen AI. • Experience with Agentic AI frameworks and concepts (e.g., Semantic Kernel, MCP, tool routing and OpenAILike / Llama index). • Integrate agents and tools into an Agentic AI infrastructure. • Experience with PostgreSQL, Qdrant Vector DB, and FastAPI. • Experience with React.js using TypeScript. • Strong grasp of software development best practices: unit testing, CI/CD, modular architecture, and secure coding. • Excellent problem-solving, debugging, and analytical skills.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p> For all candidates, prior experience with Aramco is highly preferred.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As a Threat Detection Engineer at COGNNA, you ll design high-impact detection strategies, build powerful automation, and elevate SOC operations to a world-class standard. You ll also mentor rising cyber talent and collaborate with teams across threat intel, incident response, and platform engineering.</p><p>Advanced Threat Detection Engineering</p><ul><li>Build high-fidelity correlation rules and behavioral detections within the COGNNA security platforms.</li><li>Translate adversary TTPs (MITRE ATT&amp;CK), threat intel, and vulnerability data into actionable logic.</li><li>Identify detection gaps and introduce new data sources to cover evolving threat landscapes.</li><li>Automate detection testing and maintain detection quality over time.</li></ul><p>Platform Engineering &amp; Optimization</p><ul><li>Lead architecture and optimization of XDR, SIEM, and SOC tech stacks for scale and resilience.</li><li>Streamline log ingestion pipelines from parsing to normalization and enrichment.</li><li>Build scripts and automations (Python, PowerShell) to enhance SOC efficiency.</li><li>Integrate tools across the SOC stack to enable seamless workflows and response.</li></ul><p>Threat Hunting &amp; Incident Response</p><ul><li>Collaborate with intel and IR teams to enrich detection use cases and support threat hunts.</li><li>Provide Tier-3+ support for incident investigations and post-mortem analysis.</li></ul><p>Mentorship &amp; SOC Maturity</p><ul><li>Improve SOC playbooks, SOPs, and detection engineering workflows.</li><li>Stay updated on global and regional threats and evolve detection accordingly.</li><li>Ensure compliance alignment (e.g., NCA ECC, SAMA CSF).</li></ul><p>Impact that Matters</p><ul><li>Build products that shape the future of cybersecurity and protect organizations globally.</li></ul><p>On-Site Collaboration</p><ul><li>Be at the heart of innovation in our Riyadh office, working side by side with passionate experts.</li></ul><p>Continuous Growth</p><ul><li>Access to certifications, trainings, and opportunities to sharpen your expertise.</li></ul><p>Ownership Mindset</p><ul><li>Benefit from our ESOP program and grow with COGNNA s success.</li></ul><p>Culture of Trust</p><ul><li>We empower talent, encourage ownership, and celebrate real outcomes.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s in Computer Science, Cybersecurity, or related field.</li><li>Hands-on expertise in developing and maintaining complex detection use cases.</li><li>Strong understanding of attacker behavior, IR fundamentals, and digital forensics.</li><li>Technical Skills (You re a Power User!)</li><ul><li>SIEM: Expert in SIEM queries (SPL, KQL, Lucene), rule tuning, UEBA, and scaling.</li><li>EDR: Deep knowledge of EDR tools and endpoint detection tactics.</li><li>Network Security: Pro at packet analysis (Wireshark), IDS/IPS, and NetFlow.</li><li>Scripting: Advanced skills in Python and/or PowerShell for automation and integration.</li><li>OS Internals: Mastery of Windows/Linux/macOS logging, artifacts, and forensic value.</li><li>Threat Intelligence: Skilled in turning threat intel into real-time detection logic.</li><li>Cloud Security: Strong command of monitoring IaaS/PaaS/SaaS environments.</li></ul><li>Certifications (Highly Preferred)</li><ul><li>SANS GIAC (GDAT, GMON, GCIA, GCTI, GCIH)</li><li>Offsec (OSDA)</li><li>INE (eCTHP, eCIR)</li><li>(ISC) CISSP, CSSLP</li></ul><li>Soft Skills</li><ul><li>Exceptional analytical thinking and creative problem-solving.</li><li>Excellent communication (English &amp; Arabic), including technical reporting.</li><li>Strong mentorship abilities and a collaborative spirit.</li><li>Self-motivated, focused, and passionate about cyber defense.</li><li>Capable of juggling priorities under high-pressure situations.</li></ul></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>About the Role We are seeking a highly skilled Senior AI Engineer (Arabic Speaker) to join our growing AI and Data Science team in Riyadh. The ideal candidate will have strong expertise in Artificial Intelligence, Generative AI, Machine Learning Operations (MLOps), and Cloud-based AI Platforms , with proven experience in designing, developing, deploying, and managing enterprise-grade AI solutions. The successful candidate will play a key role in building scalable AI systems, implementing GenAI applications, operationalizing machine learning models, and collaborating with business stakeholders to deliver innovative AI-driven solutions that create measurable business impact. Key Responsibilities AI &amp; Machine Learning Development Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases. Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions. Develop AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies. Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures. Evaluate and benchmark AI models to ensure performance, scalability, and reliability. Generative AI Engineering Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms. Develop conversational AI solutions, intelligent assistants, and knowledge management systems. Build prompt engineering frameworks and optimize prompts for business use cases. Implement vector databases and semantic search solutions. Develop AI agents and autonomous workflows using modern AI orchestration frameworks. MLOps &amp; AI Operations Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management. Automate model deployment using CI/CD pipelines and infrastructure-as-code practices. Monitor model performance, drift detection, retraining strategies, and operational KPIs. Establish AI governance, model versioning, reproducibility, and compliance standards. Implement scalable AI platforms supporting multiple business units. Cloud &amp; Platform Engineering Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI. Manage containerized AI environments using Docker and Kubernetes. Design scalable AI infrastructure supporting high-volume enterprise workloads. Optimize cloud resources, performance, and operational costs. Data Engineering &amp; Integration Collaborate with data engineering teams to build AI-ready data pipelines. Integrate AI solutions with enterprise applications, APIs, databases, and business platforms. Ensure data quality, security, privacy, and compliance with organizational standards. Stakeholder Management Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions. Present AI solution architectures, recommendations, and project outcomes to technical and non-technical audiences. Mentor junior AI engineers, data scientists, and platform engineers. Required Technical Skills Artificial Intelligence &amp; Machine Learning Machine Learning Deep Learning Natural Language Processing (NLP) Predictive Analytics Computer Vision (preferred) Reinforcement Learning (preferred) Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering AI Agents &amp; Multi-Agent Systems Fine-Tuning and Model Optimization Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen MLOps MLflow Kubeflow Airflow Model Monitoring &amp; Observability CI/CD for ML Feature Stores Model Registry Experiment Tracking Model Governance Cloud Platforms Microsoft Azure AWS Google Cloud Platform (GCP) Oracle Cloud Infrastructure (OCI) Preferred Containers &amp; DevOps Docker Kubernetes Git GitHub Actions Jenkins Terraform Infrastructure as Code Programming Languages Python (Mandatory) SQL Bash/Shell Scripting Java or C# (Preferred) Qualifications Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline. Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred. Experience Requirements 6 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering. Minimum 3+ years of hands-on experience implementing Generative AI solutions. Proven experience building and operationalizing machine learning models in production environments. Strong experience implementing enterprise MLOps frameworks and practices. Experience working with cloud-native AI services and modern AI platforms. Preferred Certifications Microsoft Azure AI Engineer Associate AWS Machine Learning Specialty Google Professional Machine Learning Engineer OCI AI Foundations Associate Kubernetes Certifications (CKA/CKAD) Databricks Machine Learning Professional Soft Skills Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Ability to work effectively in cross-functional and multicultural environments. Strong ownership, accountability, and leadership mindset. Passion for innovation and continuous learning. Ability to communicate fluently in both Arabic and English. Mandatory Requirements Native or Fluent Arabic Speaker. 6 8 years of relevant AI/ML engineering experience. Hands-on expertise in Generative AI and MLOps. Strong Python programming skills. Experience deploying AI solutions in enterprise production environments. Willingness to work onsite in Riyadh, Saudi Arabia.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Native or Fluent Arabic Speaker.</li><li>6 8 years of relevant AI/ML engineering experience.</li><li>Hands-on expertise in Generative AI and MLOps.</li><li>Strong Python programming skills.</li><li>Experience deploying AI solutions in enterprise production environments.</li><li>Willingness to work onsite in Riyadh, Saudi Arabia.</li></ul><p></p></section>

<b>Join Our Dynamic Team as a Data Engineer</b><br>We are seeking a passionate Data Engineer to help us build robust data pipelines and work on modern analytics solutions. If you have 4+ years of experience and love tackling big data challenges, this role at TestCrew is perfect for you.<br><br><b>Location:</b> Riyadh<br><br><b>Your Responsibilities:</b><ul><li>Build and optimize scalable ETL/ELT data pipelines.</li><li>Work with Apache Spark for large-scale data processing.</li><li>Design workflows using Apache Airflow.</li><li>Develop and manage data warehouse &amp; data lake architectures.</li><li>Improve data models, performance, and reliability.</li><li>Collaborate with analytics and business teams.</li><li>Implement CI/CD and DataOps practices.</li><li>Ensure data quality, governance, and efficiency across systems.</li></ul><br><b>What We’re Looking For:</b><ul><li>Strong experience in Python &amp; SQL.</li><li>Hands-on expertise with Apache Spark.</li><li>Experience with Apache Airflow.</li><li>Knowledge of Data Warehousing &amp; Data Lake concepts.</li><li>Experience building ETL/ELT pipelines.</li><li>Exposure to Cloud platforms (AWS / Azure / GCP) or Cloudera ecosystem.</li><li>Strong understanding of data modeling &amp; performance optimization.</li><li>Familiarity with CI/CD pipelines and DataOps practices.</li></ul><br><b>Nice to Have:</b><ul><li>Experience with streaming tools (Kafka, etc.)</li><li>BI/Analytics tool exposure.</li><li>Experience in Agile environments.</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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Build, maintain, and optimize pipelines for all environments.</p> <ul> <li>Automate DevOps tasks to reduce errors and deliver a better developer experience.</li> <li>Assist in troubleshooting deployment failures and environment-related issues.</li> <li>Automate deployment and environment provisioning.</li> <li>Integrate security scanning and compliance checks.</li> <li>Maintain documentation and a knowledge base for developers.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul> <li>CI/CD: GitLab, Jenkins, ArgoCD; pipeline design and troubleshooting.</li> </ul> <ul> <li>Infrastructure as Code (IaC): Terraform, Ansible, Helm/Kustomize.</li> <li>Containers &amp; Orchestration: Docker, OpenShift; build and deploy containerized applications.</li> <li>Scripting: Python, Bash, Groovy for Jenkins automation.</li> <li>Security / DevSecOps: SonarQube, Checkmarx, Nexus; enforce scans and policy-as-code.</li> <li>Environment Automation: VM provisioning, configuration management across hybrid environments.</li> <li>GitOps principles and immutable infrastructure.</li> <li>Security integrated into pipelines (DevSecOps).</li> <li>Automated deployment strategies for hybrid legacy + containerized applications.</li> <li>CI/CD best practices, rollback strategies, and blue/green or canary deployments.<br> <strong> <br>Key Responsibilities</strong> </li> </ul> <ul> <li>Build, maintain, and optimize pipelines for all environments.</li> <li>Automate DevOps tasks to reduce errors and deliver a better developer experience.</li> <li>Assist in troubleshooting deployment failures and environment-related issues.</li> <li>Automate deployment and environment provisioning.</li> <li>Integrate security scanning and compliance checks.</li> <li>Maintain documentation and a knowledge base for developers.</li> </ul> <p> </p> <ul> <li>Medical Inpatient &amp; Outpatient Facilities</li> <li>Paid Overtime</li> <li>Engaging Company Activities</li> <li>Sports Allowance</li> </ul><p></p></section>

<p>We are looking for a motivated professional to join our team and take ownership of Supplier engagements with Retailers, eCommerce players and Vendor for Onboarding and BAU which includes Data compliance and improvements . In this role, you will work closely with suppliers, data governance, and project managers to strengthen relationships, improve data quality, and ensure service levels are met. You will be responsible for managing a portfolio of countries and retailers, driving measurable improvements in how we receive and use data. This is a great opportunity for someone who enjoys working at the intersection of data, operations, and supplier engagement , and who wants to make a direct impact on business outcomes.</p><p><b><br></b></p><p><b>Responsibilities :</b></p><ul><li>Monitor and report key performance indicators (KPIs), ensuring data receipt aligns with service level agreements (SLAs).</li><li>Partner with data analysts to review KPIs and lead conversations with suppliers to drive improvements.</li><li>Analyze data quality metrics and collaborate with suppliers to enhance accuracy and consistency.</li><li>Identify new opportunities to improve retailer data quality and work with the operations strategy team to bring these opportunities to life.</li><li>Build and maintain strong relationships with suppliers, acting as their main point of contact.</li><li>Support onboarding activities, including data quality testing, format alignment, and timeliness expectations.</li><li>Coordinate with local operations teams and project managers to finalize onboarding plans for new suppliers.</li><li>Handle escalations and queries from retailers, ensuring timely resolution and clear communication.</li><li>Contribute to system improvements, including SAP, transactional data handling, FTP/MFT setup, and retailer system changes.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Strong technical knowledge with the ability to interpret and apply data in a business context.</li><li>Excellent analytical, Presentation and problem solving skills.</li><li>Proficiency in Microsoft Office Suite (Excel, Word, Access, Outlook, PowerPoint).</li><li>Tech savvy, with exposure to different data and file formats.</li><li>Ability to understand and interpret diverse data structures and mapping.</li><li>Knowledge in Python, SQL is an added advantage.</li><li>Fluent in English, with strong communication skills and knowing Arabic is an advantage</li></ul>

<p>We are looking for a Senior Specialist Cybersecurity Production Support to join our team in Saudi Arabia. Job Overview: The Senior Specialist will be responsible for supporting and maintaining cybersecurity platforms, ensuring high availability, operational stability, and effective security monitoring across enterprise environments. Key Responsibilities: Provide production support for cybersecurity platforms including SIEM, SOAR, VPN, and security monitoring solutions. Monitor cybersecurity platforms, dashboards, alerts, and operational activities. Support Splunk SIEM use cases, log ingestion, correlation rules, and performance optimization. Manage and maintain SOAR workflows, playbooks, and automation processes. Support VPN infrastructure including secure remote access and site-to-site connectivity. Perform Incident, Problem, and Change Management activities following ITIL practices. Conduct Root Cause Analysis (RCA) for security incidents and platform issues. Support Cyber Incident Response activities including investigation and remediation. Participate in Disaster Recovery (DR) and Business Continuity Planning (BCP). Maintain security documentation, runbooks, SOPs, and operational reports. Collaborate with security teams, infrastructure teams, and vendors for issue resolution.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Cybersecurity, Information Security, Computer Science, or related field. 4 8 years of experience in cybersecurity production support within enterprise or financial environments. Hands-on experience with: SIEM platforms (Splunk Enterprise / Splunk ES preferred) SOAR platforms (Cortex XSOAR, Splunk SOAR, or similar) VPN technologies (IPSec / SSL VPN) Security monitoring and incident response Strong understanding of cybersecurity operations, threat detection, and log analysis. Experience with ITIL Incident, Problem, and Change Management. Knowledge of SAMA Cybersecurity Framework, NCA ECC, PDPL, and NDMO is preferred. Basic scripting knowledge (Python, PowerShell, or similar) is preferred.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Quality Engineering Lead</p> <p>We are looking for a Software Quality Engineering Lead who is passionate about building quality from the early stages (Shift-Left approach) and driving automation-first testing strategies using modern technologies.</p> <p>The ideal candidate will play a key role in embedding quality practices across the SDLC, ensuring high-quality releases through robust automation frameworks and CI/CD integration.</p> <p> </p> <ul> <li> <span> <span> </span> </span>Lead and implement Shift-Left testing practices across all development phases</li> <li> <span> <span> </span> </span> Design, develop, and maintain scalable test automation frameworks</li> <li> <span> <span> </span> </span> Collaborate with developers, product owners, and DevOps teams to ensure quality is built-in, not tested later</li> <li> <span> <span> </span> </span> Integrate automated tests within CI/CD pipelines to enable continuous testing</li> <li> <span> <span> </span> </span> Perform API, UI, and integration testing using modern tools</li> <li> <span> <span> </span> </span> Analyze test results, identify defects early, and ensure fast feedback loops</li> <li> <span> <span> </span> </span> Drive test data management and environment readiness</li> <li> <span> <span> </span> </span> Contribute to quality metrics, reporting, and continuous improvement initiatives</li> </ul> <p> </p> <p>#LI-DNP</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Quality Engineering Lead</p> <ul> <li>2-4 years of experience in Software Testing / Quality Engineering</li> <li>Strong experience in test automation (e.g., Selenium, Cypress, Playwright, or similar)</li> <li>Solid understanding of Shift-Left testing principles</li> <li>Hands-on experience with CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps)</li> <li>Experience in API testing (Postman, REST Assured, etc.)</li> <li>Good knowledge of programming/scripting (Java, JavaScript, Python, or similar)</li> <li>Experience working in Agile/Scrum environments</li> <li>Strong analytical and problem-solving skills</li> <li>SQL proficiency and familiarity with APIs and Postman.</li> <li>Excellent communication and problem-solving skills.</li> <li>Ability to participate in penetration testing using Burp Suite or similar tools.</li> </ul> <p>Familiarity with OWASP standards and security best practices.</p> <p> <strong>Preferred Skills:</strong> </p> <ul> <li>Experience in performance testing (JMeter, k6)</li> <li>Knowledge of security testing and penetration testing techniques.</li> <li>Familiarity with cloud environments (Oracle, Azure,)</li> <li>Experience with containerization (Docker, Kubernetes)</li> </ul> <p>#LI-DNP</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>About the Role We are seeking a highly skilled Senior AI Engineer (Arabic Speaker) to join our growing AI and Data Science team in Riyadh. The ideal candidate will have strong expertise in Artificial Intelligence, Generative AI, Machine Learning Operations (MLOps), and Cloud-based AI Platforms , with proven experience in designing, developing, deploying, and managing enterprise-grade AI solutions. The successful candidate will play a key role in building scalable AI systems, implementing GenAI applications, operationalizing machine learning models, and collaborating with business stakeholders to deliver innovative AI-driven solutions that create measurable business impact. Key Responsibilities AI &amp; Machine Learning Development Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases. Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions. Develop AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies. Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures. Evaluate and benchmark AI models to ensure performance, scalability, and reliability. Generative AI Engineering Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms. Develop conversational AI solutions, intelligent assistants, and knowledge management systems. Build prompt engineering frameworks and optimize prompts for business use cases. Implement vector databases and semantic search solutions. Develop AI agents and autonomous workflows using modern AI orchestration frameworks. MLOps &amp; AI Operations Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management. Automate model deployment using CI/CD pipelines and infrastructure-as-code practices. Monitor model performance, drift detection, retraining strategies, and operational KPIs. Establish AI governance, model versioning, reproducibility, and compliance standards. Implement scalable AI platforms supporting multiple business units. Cloud &amp; Platform Engineering Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI. Manage containerized AI environments using Docker and Kubernetes. Design scalable AI infrastructure supporting high-volume enterprise workloads. Optimize cloud resources, performance, and operational costs. Data Engineering &amp; Integration Collaborate with data engineering teams to build AI-ready data pipelines. Integrate AI solutions with enterprise applications, APIs, databases, and business platforms. Ensure data quality, security, privacy, and compliance with organizational standards. Stakeholder Management Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions. Present AI solution architectures, recommendations, and project outcomes to technical and non-technical audiences. Mentor junior AI engineers, data scientists, and platform engineers. Required Technical Skills Artificial Intelligence &amp; Machine Learning Machine Learning Deep Learning Natural Language Processing (NLP) Predictive Analytics Computer Vision (preferred) Reinforcement Learning (preferred) Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering AI Agents &amp; Multi-Agent Systems Fine-Tuning and Model Optimization Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen MLOps MLflow Kubeflow Airflow Model Monitoring &amp; Observability CI/CD for ML Feature Stores Model Registry Experiment Tracking Model Governance Cloud Platforms Microsoft Azure AWS Google Cloud Platform (GCP) Oracle Cloud Infrastructure (OCI) Preferred Containers &amp; DevOps Docker Kubernetes Git GitHub Actions Jenkins Terraform Infrastructure as Code Programming Languages Python (Mandatory) SQL Bash/Shell Scripting Java or C# (Preferred) Qualifications Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline. Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred. Experience Requirements 6 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering. Minimum 3+ years of hands-on experience implementing Generative AI solutions. Proven experience building and operationalizing machine learning models in production environments. Strong experience implementing enterprise MLOps frameworks and practices. Experience working with cloud-native AI services and modern AI platforms. Preferred Certifications Microsoft Azure AI Engineer Associate AWS Machine Learning Specialty Google Professional Machine Learning Engineer OCI AI Foundations Associate Kubernetes Certifications (CKA/CKAD) Databricks Machine Learning Professional Soft Skills Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Ability to work effectively in cross-functional and multicultural environments. Strong ownership, accountability, and leadership mindset. Passion for innovation and continuous learning. Ability to communicate fluently in both Arabic and English. Mandatory Requirements Native or Fluent Arabic Speaker. 6 8 years of relevant AI/ML engineering experience. Hands-on expertise in Generative AI and MLOps. Strong Python programming skills. Experience deploying AI solutions in enterprise production environments. Willingness to work onsite in Riyadh, Saudi Arabia.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline. Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.</p><p>6 - 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</p><p>Minimum 3+ years of hands-on experience implementing Generative AI solutions.</p><p>Proven experience building and operationalizing machine learning models in production environments.</p><p>Strong experience implementing enterprise MLOps frameworks and practices.</p><p>Experience working with cloud-native AI services and modern AI platforms.</p><p>Native or Fluent Arabic Speaker.</p><p>Strong Python programming skills.</p><p>Experience deploying AI solutions in enterprise production environments.</p><p>Willingness to work onsite in Riyadh, Saudi Arabia.</p><p>Strong analytical and problem-solving skills.</p><p>Excellent communication and stakeholder management abilities.</p><p>Ability to work effectively in cross-functional and multicultural environments.</p><p>Strong ownership, accountability, and leadership mindset.</p><p>Passion for innovation and continuous learning.</p><p>Ability to communicate fluently in both Arabic and English.</p><p></p></section>