Python Developer Jobs in Saudi
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<p><br></p><p>Overview: The Applications Developer & Designer will be responsible for designing, developing, and maintaining custom software applications and digital solutions tailored to the needs of Al Qadsiah Club. This role combines strong development skills with creative design capabilities to deliver engaging, efficient, and scalable applications.</p><p>Key Responsibilities:</p><ul><li>Design, develop, test, and deploy custom applications (web & mobile) to support club operations and fan engagement.</li><li>Develop and publish mobile applications (iOS & Android) using modern frameworks.</li><li>Experience in API design, development, and integration with third-party or government systems.</li><li>Hands-on experience with mobile development frameworks (React Native, Flutter, Swift, Kotlin).</li><li>Design, develop, test, and deploy custom applications to support club operations and fan engagement.</li><li>Collaborate with stakeholders to gather requirements and translate them into technical specifications.</li><li>Develop user-friendly interfaces and seamless user experiences by applying best design practices.</li><li>Maintain and enhance existing applications to improve performance, usability, and security.</li><li>Integrate third-party APIs and services as needed for expanded functionality.</li><li>Troubleshoot, debug, and resolve application issues promptly.</li><li>Ensure applications comply with security standards and data privacy regulations.</li><li>Work closely with the IT and digital teams to support digital transformation initiatives.</li><li>Document development processes, code, and user manuals.</li><li>Stay updated with emerging trends and technologies in application development and design.</li></ul><p><strong>Desired Candidate Profile</strong></p><h2>Qualifications:</h2><ul><li>Bacheloru2019s degree in Computer Science, Software Engineering, or a related field.</li><li>Proven experience in application development and UI/UX design.</li><li>Proficiency in programming languages such as JavaScript, Python, Java, C#, or others relevant to the clubu2019s tech stack.</li><li>Experience with web frameworks (React, Angular, Vue.js) and backend technologies (Node.js, .NET, Django, etc.).</li><li>Strong skills in database management (SQL, NoSQL).</li><li>Familiarity with graphic design tools (Adobe XD, Figma, Sketch) for UI/UX design.</li><li>Understanding of agile development methodologies.</li><li>Excellent problem-solving and communication skills.</li><li>Experience in sports or entertainment industry applications is a plus.</li></ul>
<p>The Role My client is looking for an experienced Teradata DBA Administrator & Hardware Support Engineer to take ownership of the administration, monitoring, performance, maintenance and L2/L3 support of their Teradata Vantage platform. You will work across production and non-production environments, supporting Teradata Vantage 16/17.x, IntelliFlex, VMware and the wider Teradata ecosystem , while ensuring high availability, performance, security and operational stability. Key Responsibilities: Install, configure and administer Teradata Vantage 16/17.x across IntelliFlex and VMware environments. Manage and support Viewpoint, QueryGrid, Data Mover, BCM and Data Stream Utility . Monitor system health, query performance and resource utilization using Teradata Viewpoint . Perform performance tuning, query optimization and TASM/workload management . Manage backup, recovery and disaster recovery processes using Data Stream Utility and BCM . Support data migration, replication and refresh activities using Data Mover . Configure and support QueryGrid for cross-platform data access. Manage database users, roles, permissions and security controls. Perform patching, upgrades and platform maintenance , ensuring compatibility across the Teradata ecosystem. Provide L2/L3 production and non-production support , troubleshooting database, platform and infrastructure issues. Support ClearScape Analytics and AI Nodes , including integration with Python, R and ModelOps environments. Manage CMIC and Service Workstation (SWS) for diagnostics, monitoring and system operations. Work closely with application, ETL, infrastructure and analytics teams to resolve technical issues. Maintain operational documentation, system inventories, logs and diagnostic information.</p><p><strong>Desired Candidate Profile</strong></p><p><strong>Required Experience:</strong> 5-10 years of hands-on Teradata DBA / platform administration experience. Strong experience with Teradata Vantage 16/17.x . Hands-on experience with: Teradata Viewpoint QueryGrid Data Mover Business Continuity Manager (BCM) Data Stream Utility IntelliFlex VMware Strong SQL, performance tuning and workload management/TASM capabilities. Experience with Linux/Unix and shell scripting . Knowledge of REST APIs, CLIv2 and data integration technologies . Experience supporting enterprise-scale production environments and resolving complex infrastructure/database issues.</p>
<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3>
<p style="margin:0 0 12px; ************;">CareerFirst Company is seeking a <strong style="font-weight:700;">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 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Summary</h3>
<p style="margin:0 0 12px; ************;">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 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;">Design, build, and maintain interactive business intelligence (BI) dashboards and reports using tools such as Power BI or Tableau.</li>
<li style="margin:0 0 6px;">Query, extract, clean, and transform complex datasets from disparate systems utilizing SQL and ETL pipelines.</li>
<li style="margin:0 0 6px;">Collaborate with cross-functional teams to define Key Performance Indicators (KPIs) and operational metrics relevant to business objectives.</li>
<li style="margin:0 0 6px;">Ensure data accuracy, integrity, and consistency across all reporting layers and tools used within the organization.</li>
<li style="margin:0 0 6px;">Conduct exploratory data analysis to identify trends, patterns, and operational bottlenecks, presenting findings clearly to leadership.</li>
</ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications</h3>
<ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;">
<li style="margin:0 0 6px;"><strong>Education:</strong> Bachelor’s Degree in Information Technology, Computer Science, Data Science, Information Systems, or a related field.</li>
<li style="margin:0 0 6px;"><strong>Experience:</strong> A minimum of 4 years of hands-on experience in data analysis, business intelligence (BI), or data engineering.</li>
</ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Technical Skills</h3>
<ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;">
<li style="margin:0 0 6px;">High proficiency in SQL for data extraction and manipulation.</li>
<li style="margin:0 0 6px;">Expert-level skill in BI tools such as Power BI, Tableau, or QlikView.</li>
<li style="margin:0 0 6px;">Strong knowledge of data warehousing concepts, ETL processes, and database architecture.</li>
<li style="margin:0 0 6px;">Familiarity with Python or R for data analysis is considered a plus.</li>
</ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Application Information</h3>
<p style="margin:0 0 12px; ************;">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>
<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About Exequt</h3>
<p style="margin:0 0 12px; ************;">Exequt is a rapidly expanding consulting and technology services firm based in Riyadh, specializing in cybersecurity, Identity and Access Management (IAM), cloud solutions, AI-driven platforms, and custom software engineering. The firm partners with public and private sector organizations across the Kingdom of Saudi Arabia to deliver high-impact digital transformation initiatives.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">The Role of Penetration Tester</h3>
<p style="margin:0 0 12px; ************;">Exequt is seeking a <strong style="font-weight:700;">Penetration Tester</strong> to join its team in Riyadh. This full-time position involves identifying, exploiting, and reporting on security vulnerabilities across diverse technical environments. The primary objective of this role is to help clients understand and mitigate their real-world security risks.</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;">Conduct penetration testing across web, API, mobile, network, infrastructure, cloud, and Active Directory environments.</li>
<li style="margin:0 0 6px;">Identify and safely exploit security vulnerabilities, followed by an assessment of their business impact.</li>
<li style="margin:0 0 6px;">Perform vulnerability validation, privilege escalation, and comprehensive security assessments.</li>
<li style="margin:0 0 6px;">Utilize industry-standard tools such as Burp Suite, Nmap, Metasploit, Nessus, Kali Linux, and BloodHound.</li>
<li style="margin:0 0 6px;">Prepare detailed technical reports outlining findings, risk ratings, supporting evidence, and remediation recommendations.</li>
<li style="margin:0 0 6px;">Execute remediation retesting and communicate findings effectively to technical teams.</li>
</ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications</h3>
<ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;">
<li style="margin:0 0 6px;">3–6+ years of hands-on experience in penetration testing.</li>
<li style="margin:0 0 6px;">Strong foundational knowledge of OWASP Top 10, networking principles, Windows/Linux operating systems, Active Directory, APIs, and cloud security concepts.</li>
<li style="margin:0 0 6px;">Proficiency in scripting languages such as Python, PowerShell, or Bash.</li>
<li style="margin:0 0 6px;"><strong style="font-weight:700;">Saudi Nationality is required for this position.</strong></li>
</ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Preferred Skills and Experience</h3>
<ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;">
<li style="margin:0 0 6px;">Relevant industry certifications such as OSCP, OSWE, OSEP, CREST, GPEN, or CEH.</li>
<li style="margin:0 0 6px;">Experience within the banking, telecommunications, or government sectors, or familiarity with Saudi NCA/SAMA frameworks.</li>
</ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Compensation and Work Environment</h3>
<p style="margin:0 0 12px; ************;">This full-time role offers performance-based compensation. The successful candidate will operate in a dynamic environment focused on cybersecurity consulting and technology services within Riyadh.</p>
<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Artificial Intelligence Engineer at Maharah Human Resources</h3>
<p style="margin:0 0 12px; ************;">Maharah Human Resources is seeking a skilled Artificial Intelligence Engineer to join its team in Riyadh. This full-time position requires candidates with <strong>5-10 years of experience</strong> in designing, developing, and implementing AI-based solutions to enhance business processes and products.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Purpose and Overview</h3>
<p style="margin:0 0 12px; ************;">The Artificial Intelligence Engineer will leverage a strong background in machine learning, data analysis, and software development. The primary objective of this role is to translate complex data into actionable insights, contributing to the development and deployment of robust AI solutions that drive business improvements.</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;">Design, develop, and deploy AI models and algorithms to solve real-world problems.</li>
<li style="margin:0 0 6px;">Collaborate with cross-functional teams to gather requirements and deliver AI-powered solutions.</li>
<li style="margin:0 0 6px;">Conduct research and stay updated with the latest advancements in AI and machine learning.</li>
<li style="margin:0 0 6px;">Analyze large datasets to extract meaningful patterns and insights.</li>
<li style="margin:0 0 6px;">Optimize existing AI models for performance and scalability.</li>
<li style="margin:0 0 6px;">Write clean, efficient, and well-documented code.</li>
<li style="margin:0 0 6px;">Ensure AI systems comply with ethical guidelines and data privacy standards.</li>
</ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications and Experience</h3>
<ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;">
<li style="margin:0 0 6px;">Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.</li>
<li style="margin:0 0 6px;">Proven experience in AI/Machine Learning development and deployment.</li>
<li style="margin:0 0 6px;">Strong programming skills in Python, R, or similar languages.</li>
<li style="margin:0 0 6px;">Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Keras.</li>
<li style="margin:0 0 6px;">Experience with data preprocessing, feature engineering, and model evaluation.</li>
</ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Essential 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;">Good understanding of algorithms, statistics, and data structures.</li>
<li style="margin:0 0 6px;">Strong problem-solving skills and an analytical mindset.</li>
<li style="margin:0 0 6px;">Ability to work collaboratively in a team-oriented environment.</li>
</ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Application Information</h3>
<p style="margin:0 0 12px; ************;">Qualified candidates are invited to apply for this full-time Artificial Intelligence Engineer position based in Riyadh.</p>
<h2 class="h5">Job description</h2>
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<span>Jasara PMC is a joint venture between PIF, Jacobs, and Saudi Aramco, focused on delivering social infrastructure programs in Saudi Arabia.<br> The company supports Vision 2030 through solutions-based program delivery, helping bring complex infrastructure initiatives from planning through execution with a strong emphasis on coordination, control, and delivery excellence.<br> In this role, you will help strengthen the consistency and connectivity of engineering information across major infrastructure programs.<br> This is an opportunity to contribute to projects where disciplined configuration control, effective integration, and close collaboration across technical and delivery stakeholders are essential to successful outcomes.<br> Responsibilities Manage configuration baselines and maintain accurate engineering documentation across project phases.<br> Coordinate system integration activities between multidisciplinary teams and external stakeholders.<br> Track design changes and ensure configuration updates are properly reviewed and approved.<br> Support interface management to resolve integration issues across connected systems.<br> Required Qualifications Bachelor's degree in engineering or a related technical discipline.<br> At least 8 years of experience supporting configuration management activities and at least 8 years of experience supporting system integration activities.<br> Strong development experience in digital delivery platforms, including building, integrating, automating, and enhancing digital solutions.<br> Experience in construction project environments, including large-scale infrastructure project environments and engineering project delivery.<br> Hands-on experience with document control, change management, and baseline tracking.<br> Proven ability to work with design consultants, project delivery teams, external vendors, and senior client-side stakeholders.<br> Preferred Qualifications Experience with Autodesk Construction Cloud Platform Services, REST APIs, and ETL processes and data transformation.<br> Experience with Microsoft Azure and Microsoft Power Platform, including Power Apps, Power Automate, and Power BI.<br> Experience with .<br>NET, JavaScript, or Python.<br> BIM or digital delivery background.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
Preferred candidate </h2>
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<b>Years of experience</b>
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No experience required </div>
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<b>Degree</b>
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Bachelor's degree / higher diploma </div>
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<p>We have partnered with a large, established family conglomerate in Saudi Arabia to hire an AI Engineer.</p><p>This is a business with deep roots, significant assets and a leadership team that has made a serious commitment to embedding AI across its operations. The scale of what is being built here is rare, and for an AI Engineer at this stage of their career, the exposure, complexity and longevity of the work on offer is genuinely compelling.</p><p>This is a hands-on role for someone who builds AI systems that ship and perform in production, across a diverse portfolio of business functions.</p><p>About the role:</p><ul><li>Design, build and deploy production-grade AI and ML systems across multiple business units within the Group</li><li>Develop LLM-based applications including RAG pipelines, agentic workflows and tool-use systems that solve real business problems</li><li>Build and integrate APIs, orchestration layers and data pipelines that connect AI components into broader platform architecture</li><li>Work with vector databases, embedding models and retrieval frameworks to deliver accurate, scalable AI solutions</li><li>Ensure deployed systems meet production standards across performance, reliability, observability and cost efficiency</li><li>Collaborate with product, data and engineering stakeholders to translate business requirements into well-architected AI solutions</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>3 to 5 years of hands-on experience in AI or ML engineering with a clear track record of deploying systems into production</li><li>Strong Python skills and practical experience with frameworks such as TensorFlow, PyTorch or Hugging Face</li><li>Hands-on experience with LLM APIs, RAG system design and vector databases such as Pinecone, Weaviate or pgvector</li><li>Familiarity with orchestration frameworks such as LangChain or LlamaIndex and agentic system patterns</li><li>Solid understanding of cloud platforms including AWS, Azure or GCP</li><li>Strong communicator comfortable working across technical and non-technical teams</li></ul>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Design, develop, and maintain backend services and APIs that power Hala services web and mobile platforms. Build and optimize scalable, secure, and high-performance systems to support growing user and data demands. Collaborate closely with product managers, frontend engineers, and other teams to define technical requirements and deliver end-to-end solutions. Integrate with third-party systems, internal APIs, and external services to enable seamless functionality. Write clean, maintainable, and testable code following best practices and team standards. Implement authentication, authorization, and data protection mechanisms to ensure system security and integrity. Contribute to architecture discussions and technical design reviews to ensure scalable and future-proof backend solutions. Monitor system performance, identify bottlenecks, and implement performance improvements. Participate in code reviews, mentoring, and continuous improvement of engineering processes. Collaborate in deploying and maintaining services in staging and production environments (e.g., via CI/CD pipelines). Support troubleshooting, debugging, and resolving production issues in a timely manner.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Education: Bachelor s degree in computer science, Software Engineering, or a related field (or equivalent practical experience). Experience: 3+ years of backend development experience in a production environment. Strong proficiency in one or more backend languages (.NET, Node.js, Python, Go, or Java ). Experience with RESTful APIs and/or GraphQL design and development. Solid understanding of microservices architecture and event-driven systems . Familiarity with databases (SQL and NoSQL), such as PostgreSQL, MySQL, MongoDB, or Redis. Hands-on experience with cloud platforms (OCI, AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes). Knowledge of CI/CD pipelines , automated testing, and modern DevOps practices. Understanding of security principles , authentication (OAuth2, JWT), and data privacy best practices. Excellent problem-solving skills, teamwork, and communication abilities. Strong focus on performance, scalability, and reliability.</p><p></p></section>
<p>We're looking for an AI Engineer who gets excited about turning LLMs into reliable, scalable systems that real users depend on. If you've battled retry logic at 3am, debugged hallucinations in production, or celebrated when your RAG system finally hit 95% accuracy, we want to talk.</p><p>What You'll Do</p><p>You'll architect and deploy production-grade AI systems that solve real business problems. Think customer intelligence agents, automated sales workflows, and RAG systems that actually retrieve the right context. You'll work with modern frameworks like LangGraph, LlamaIndex, or Vertex AI Agent Builder to build systems that scale from hundreds to thousands of daily users. This isn't research, it's engineering. You'll own the full lifecycle: designing architectures, writing production code, implementing robust error handling, shipping to users, and monitoring what matters.</p><p>What You Bring</p><p>Required Technical Skills</p><p>AI Systems Engineering</p><ul><li>Hands-on experience deploying at least one AI system to production (not just notebooks)</li><li>Proficiency with LLM orchestration frameworks (LangGraph, LlamaIndex, AWS Agent Core, or similar)</li><li>Deep understanding of RAG architectures: embeddings, vector databases, retrieval strategies</li><li>Experience with prompt engineering as an engineering discipline versioned, tested, and iterated</li></ul><p>Software Engineering Excellence</p><ul><li>Production-quality Python with clean API design and proper error handling</li><li>Expertise in resilient systems: retry logic, exponential backoff, circuit breakers</li><li>Testing strategies for non-deterministic systems (yes, we test our prompts)</li><li>Async processing, queue management, and distributed systems patterns</li></ul><p>Production Operations</p><ul><li>Monitoring and observability for AI systems (beyond just "it works")</li><li>Cost optimization for LLM-powered applications at scale</li><li>Deployment pipelines and feature flagging for gradual rollouts</li><li>Security practices including prompt injection prevention and PII handling</li></ul><p>What Great Looks Like</p><ul><li>You've debugged why your RAG system retrieved irrelevant context and fixed the chunking strategy</li><li>You can explain the trade-offs between different vector databases for your use case</li><li>You've written tests that catch prompt regressions before they hit production</li><li>You think about AI systems in terms of latency, cost per query, and accuracy metrics</li><li>You've had production incidents and learned from them</li></ul><p>What Makes You Stand Out</p><ul><li>Built multi-agent systems with human-in-the-loop workflows</li><li>Integrated AI systems with CRM platforms (Salesforce, HubSpot) or business tools</li><li>Experience with evaluation frameworks for measuring LLM output quality</li><li>Open source contributions to AI tooling or framework projects</li><li>War stories about scaling AI systems from 100 to 10,000+ queries/day</li></ul><p>Why This Role</p><ul><li>Real Impact: Your systems will process thousands of queries daily, driving actual business outcomes</li><li>Modern Stack: Work with cutting-edge AI frameworks and tools as they evolve</li><li>Ownership: Own systems end-to-end from architecture to monitoring</li><li>Learning Culture: Fast-moving AI landscape means constant learning and experimentation</li><li>Pragmatic Innovation: Balance moving fast with building reliable, maintainable systems</li></ul><p>Not Your Typical AI Role</p><p>We're not looking for: Pure ML researchers optimizing model architectures, Data scientists building statistical models, Prompt engineers without software engineering depth. We are looking for: Software engineers who've fallen in love with building AI systems, Builders who ship and iterate based on real user feedback, Engineers who treat prompts like code and systems like products.</p><p>What's Next</p><p>Think this sounds like you? Let's talk about the AI systems you've built, the production challenges you've solved, and what you want to build next. We're building the future of AI-powered automation. The question is: will it work reliably at 3am when your users need it? We think yes and we need engineers who know how to make that happen.</p><p><strong>Desired Candidate Profile</strong></p><p>Required Technical Skills</p><p>AI Systems Engineering</p><ul><li>Hands-on experience deploying at least one AI system to production (not just notebooks)</li><li>Proficiency with LLM orchestration frameworks (LangGraph, LlamaIndex, AWS Agent Core, or similar)</li><li>Deep understanding of RAG architectures: embeddings, vector databases, retrieval strategies</li><li>Experience with prompt engineering as an engineering discipline versioned, tested, and iterated</li></ul><p>Software Engineering Excellence</p><ul><li>Production-quality Python with clean API design and proper error handling</li><li>Expertise in resilient systems: retry logic, exponential backoff, circuit breakers</li><li>Testing strategies for non-deterministic systems (yes, we test our prompts)</li><li>Async processing, queue management, and distributed systems patterns</li></ul><p>Production Operations</p><ul><li>Monitoring and observability for AI systems (beyond just "it works")</li><li>Cost optimization for LLM-powered applications at scale</li><li>Deployment pipelines and feature flagging for gradual rollouts</li><li>Security practices including prompt injection prevention and PII handling</li></ul><p>What Great Looks Like</p><ul><li>You've debugged why your RAG system retrieved irrelevant context and fixed the chunking strategy</li><li>You can explain the trade-offs between different vector databases for your use case</li><li>You've written tests that catch prompt regressions before they hit production</li><li>You think about AI systems in terms of latency, cost per query, and accuracy metrics</li><li>You've had production incidents and learned from them</li></ul><p>What Makes You Stand Out</p><ul><li>Built multi-agent systems with human-in-the-loop workflows</li><li>Integrated AI systems with CRM platforms (Salesforce, HubSpot) or business tools</li><li>Experience with evaluation frameworks for measuring LLM output quality</li><li>Open source contributions to AI tooling or framework projects</li><li>War stories about scaling AI systems from 100 to 10,000+ queries/day</li></ul>
<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About Agoda and the Opportunity</h3>
<p style="margin:0 0 12px; ************;">Agoda, a part of Booking Holdings [NASDAQ: BKNG], connects people to destinations and experiences globally through its platform. The company's Data department oversees all data-related requirements, aiming to enable and increase data utilization across the organization through creative approaches and powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. This full-time position for a Senior / Staff Data Engineer (BI) CEG Team is based in Makkah.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Overview: Senior / Staff Data Engineer (BI)</h3>
<p style="margin:0 0 12px; ************;">As a <strong style="font-weight:700;">Senior/Staff Data Engineer in the Customer Experience Group (CEG)</strong>, you will contribute to the design, build, and maintenance of data and software foundations that empower CEG Business users to serve customers and agents across various contact channels. This role involves close collaboration with Product, Operations, Analytics, Operations Efficiency, WFM, DevOps, and engineering teams to deliver reliable data pipelines, scalable models, internal tools, and clear insights that enhance customer experience and operational efficiency. Candidates should be comfortable transitioning between engineering tasks (pipelines, data models, internal services, tooling, optimization) and analytics work (business questions, dashboards, deep-dive analysis). At the <strong style="font-weight:700;">Staff level</strong>, responsibilities extend to shaping CEG’s data and tooling strategy, influencing cross-team architecture, and elevating the team's overall engineering and data standards.</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;">Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and serve data from CEG systems and third-party tools.</li>
<li style="margin:0 0 6px;">Develop and optimize data models that support CEG reporting, monitoring, forecasting, QA, and experimentation.</li>
<li style="margin:0 0 6px;">Ensure data quality, reliability, and observability by implementing validation checks, anomaly detection, and monitoring for key CEG datasets and metrics.</li>
<li style="margin:0 0 6px;">Improve performance and cost efficiency of data jobs and queries for high-volume CEG data.</li>
<li style="margin:0 0 6px;">Collaborate with data platform and engineering teams to standardize tooling and best practices.</li>
<li style="margin:0 0 6px;">Design and build data tools and internal products for CEG, such as self-service analytics and monitoring dashboards.</li>
<li style="margin:0 0 6px;">Utilize languages like Python, Java, Golang, or JavaScript/TypeScript to implement APIs, data services, and lightweight UIs.</li>
<li style="margin:0 0 6px;">Partner with CEG product managers and operations to translate operational challenges into concrete data tools, from problem framing to delivery.</li>
<li style="margin:0 0 6px;">Apply solid software engineering practices, including testing, code reviews, CI/CD, and observability, to data products.</li>
<li style="margin:0 0 6px;">At the Staff level, define and drive the roadmap for key CEG data tools and platforms, ensuring reuse across regions and channels.</li>
<li style="margin:0 0 6px;">Partner with CEG product and business teams to translate questions into data problems and design clear analytic approaches.</li>
<li style="margin:0 0 6px;">Build and maintain dashboards and reports that provide reliable metrics and self-service access to data.</li>
<li style="margin:0 0 6px;">Perform deep-dive analysis to understand trends, identify root causes, and propose data-driven recommendations.</li>
<li style="margin:0 0 6px;">Define and maintain metrics and KPIs, ensuring consistent definitions across CEG teams and tools.</li>
<li style="margin:0 0 6px;">Communicate findings in clear, business-friendly language, including implications and recommended next steps.</li>
<li style="margin:0 0 6px;">Act as a trusted data partner for CEG stakeholders.</li>
<li style="margin:0 0 6px;">Work with other data engineers, analysts, and scientists to align on data standards and shared datasets.</li>
<li style="margin:0 0 6px;">Mentor junior and mid-level team members on data engineering, analytics, and software engineering best practices.</li>
<li style="margin:0 0 6px;">Contribute to continuous improvement of team workflows.</li>
<li style="margin:0 0 6px;">At the Staff level, influence cross-team architecture and ways of working to ensure CEG’s data ecosystem scales with business growth.</li>
</ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications</h3>
<ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;">
<li style="margin:0 0 6px;">8+ years of experience as a Data Engineer, Analytics Engineer, or Data Analyst in a data-driven environment (Staff level typically requires 10+ years or equivalent scope/impact).</li>
<li style="margin:0 0 6px;">Strong SQL skills, including complex joins, window functions, aggregation, and query optimization.</li>
<li style="margin:0 0 6px;">Experience with at least one major data warehouse or big data technology (*, BigQuery, Snowflake, Redshift, Hive, Spark, Vertica, StarRocks).</li>
<li style="margin:0 0 6px;">Solid experience with ETL/ELT tools or orchestration frameworks (*, Airflow, dbt).</li>
<li style="margin:0 0 6px;">Proficiency in at least one programming language for data and services (*, Python, Java, Golang, Kotlin, or JavaScript/TypeScript).</li>
<li style="margin:0 0 6px;">Experience building production-grade data pipelines and/or data services with attention to quality, monitoring, and maintainability.</li>
<li style="margin:0 0 6px;">Experience with BI / visualization tools (*, Tableau, Power BI, Superset, Metabase, Looker).</li>
<li style="margin:0 0 6px;">Strong analytical thinking, including framing business questions, exploring data, and translating results into clear insights.</li>
<li style="margin:0 0 6px;">Ability to communicate complex topics in simple, concise language to non-technical stakeholders.</li>
</ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Preferred Skills and Experience</h3>
<ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;">
<li style="margin:0 0 6px;">Experience with event-driven data (logs, clickstream, customer journey, contact flows, tracking data).</li>
<li style="margin:0 0 6px;">Knowledge of data modeling techniques (*, dimensional modeling, Kimball, data vault, star/snowflake schema).</li>
<li style="margin:0 0 6px;">Experience with A/B testing, experimentation platforms, or causal analysis.</li>
<li style="margin:0 0 6px;">Familiarity with ML pipelines or working with data science teams (*, routing models, QA scoring, forecasting, recommendations).</li>
<li style="margin:0 0 6px;">Experience in online consumer products, travel, e-commerce, or marketplaces.</li>
<li style="margin:0 0 6px;">Hands-on frontend or backend development experience (*, building internal tools in React/****, ****, or similar frameworks) used by operations or support teams.</li>
<li style="margin:0 0 6px;">Prior experience in a Staff or Tech-Lead role, driving technical direction and mentoring multiple engineers/analysts.</li>
</ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Environment</h3>
<p style="margin:0 0 12px; ************;">Agoda's culture is centered on data and technology, fostering curiosity and innovation. The company supports a diverse team and an environment of experimentation. This is a full-time position located in Makkah, where you will contribute to a team that empowers decision-making across the business and enhances customer experiences.</p>
Own end-to-end forensic investigations across endpoints, cloud platforms, and network infrastructure — from initial triage to root cause, including IoC identification, data exfiltration, and unauthorized access Coordinate and lead the DFIR team across active investigations, ensuring consistent methodology, evidence integrity, and investigative velocity Pull and analyze logs from EDR/XDR, SIEM, DLP, IdP, and email gateway platforms to reconstruct precise attack and user activity timelines Acquire forensic images from laptops, mobile devices, servers, and cloud repositories with full chain of custody Go deep on artifacts — file systems, memory, registry, logs, config states — to reconstruct exactly what happened and when Correlate endpoint, network, and identity telemetry into a coherent picture of attacker behavior and system access Build AI-assisted workflows that automate evidence collection, pattern detection, and timeline generation to scale investigative capacity Translate technical findings into clear, chronological narratives for executives and cross-functional stakeholders — no jargon, no ambiguity Close the loop: feed investigation outcomes back into detection rules, access controls, and policy improvements<br><br>Requirements<br><br>???? Education<br><br>Bachelor's in Cybersecurity, International Relations, Computer Science, or related field<br><br>???? Experience<br><br>3+ years in digital forensics, incident response, or security investigations, with a track record leading or coordinating DFIR engagements Exceptional written and verbal communication in both English & Arabic Hands-on proficiency with forensic tooling: FTK, X-Ways, Cellebrite, Axiom, or equivalent platforms Strong command of network protocols (TCP/IP, HTTP/S, DNS) and log analysis across SIEM platforms Scripting ability in Python, Power Shell, or Bash — used to automate evidence processing, not just theoretically Deep working knowledge of Windows, mac OS, and Linux/Unix environments at the artifact and system level Proven experience integrating AI tools into investigative workflows to accelerate triage, pattern detection, or reporting Clear, confident communicator — able to brief executives and work alongside legal, HR, and compliance teams without losing technical precision Compliance: Ensuring all operations align with NCA ECC and SAMA CSF regulations<br><br>???? Certifications (Highly Preferred)<br><br>SANS / GIAC (GCFA, GCFE, GNFA, GCIA or similar) IACIS CFCEEC-Council CHFIOffsec (OSDA, OSIR) <br><br>Benefits<br><br>???? Impact that Matters - Build products that shape the future of cybersecurity and protect organizations globally.<br><br>???? On-Site Collaboration - Be at the heart of innovation in our Riyadh office, working side by side with passionate experts.<br><br>???? Continuous Growth - Access to certifications, trainings, and opportunities to sharpen your expertise.<br><br>???? Ownership Mindset - Benefit from our ESOP program and grow with COGNNA's success.<br><br>???? Culture of Trust - We empower talent, encourage ownership, and celebrate real outcomes.
???? Job Title: Customer Segmentation & Strategy Senior Lead - Financial Services - Contract<br>???? Location: Riyadh, KSA<br>???? Employment type: Contract, 6 to 12 months<br>???? Environment: Financial Services Environment<br>About the Role<br>We are searching on behalf of our client for this role. This position is not with OVI.<br>The Customer Segmentation & Strategy Senior Lead will be responsible for developing and implementing customer segmentation strategies, customer intelligence frameworks, and Customer Lifetime Value (CLV) approaches across priority customer segments. This role will translate customer data, behavioral insights, and market intelligence into actionable strategies and propositions, working closely with various business stakeholders.<br>Key Responsibilities<br>• Develop and evolve the overall customer segmentation strategy aligned with business objectives.<br>• Maintain customer intelligence frameworks covering demographics, behaviors, and profitability.<br>• Define and operationalize CLV frameworks, including segmentation based on customer value.<br>• Translate segmentation outputs into actionable customer strategies.<br>• Develop Customer Value Propositions (CVPs) for priority segments.<br>• Provide insights and recommendations to support targeted interventions.<br>• Lead the design and implementation of segment-specific programs and customer journeys.<br>• Develop go-to-market strategies for new customer propositions.<br>• Leverage analytics to identify growth opportunities and customer trends.<br>• Establish performance measures and monitor segmentation effectiveness.<br>• Partner with Data & Analytics teams to support segmentation models.<br>• Present findings and recommendations to senior management.<br>Your Profile<br>• Bachelor's degree in Business Administration, Marketing, Finance, or related discipline.<br>• 7–10 years of experience in customer segmentation, strategy, or analytics.<br>• Proven experience in KSA banking or financial services.<br>• Strong expertise in customer segmentation strategy and execution.<br>• Experience with analytical tools such as Power BI, SQL, or Python.<br>• Excellent communication and stakeholder management skills.<br>• Fluency in English; Arabic skills are preferred.<br>What's Offered<br>• Opportunity to work with a leading client in the financial services sector.<br>• Contract role with a duration of 6 to 12 months.<br>• Collaborative work environment with cross-functional teams.<br>• Chance to lead strategic initiatives and drive business outcomes.<br>Ideal Candidate<br>The ideal candidate will have a strong background in customer segmentation and strategy within the KSA banking sector. They will possess excellent analytical skills and the ability to translate data insights into actionable business strategies. Strong communication and stakeholder management skills are essential, along with a proactive approach to driving customer value initiatives.<br>When you apply to this role, AI may be used to help analyse and format your information so the hiring team can review it more easily.
Client is seeking a skilled and proactive Network Engineer with a minimum of 5 years of experience in designing, implementing, managing, and troubleshooting enterprise network infrastructure. The ideal candidate will have strong expertise in LAN/WAN technologies, routing and switching, firewalls, VPNs, wireless networking, and network security. The successful candidate will ensure high availability, optimal performance, and security of the organization's network infrastructure while supporting business continuity and future scalability.<br>Key Responsibilities:Design, implement, configure, and maintain enterprise network infrastructure. Install, configure, and support routers, switches, firewalls, wireless controllers, and access points. Monitor network performance and proactively identify and resolve issues. Configure and troubleshoot LAN, WAN, WLAN, VPN, and SD-WAN environments. Manage network security devices, firewall policies, and access control lists (ACLs). Ensure high availability through redundancy, failover, and disaster recovery solutions. Monitor bandwidth utilization and perform capacity planning. Perform firmware upgrades, patching, and preventive maintenance of network devices. Configure and manage VLANs, routing protocols, and switching technologies. Troubleshoot complex network connectivity and performance issues. Work with Internet Service Providers (ISPs), telecom vendors, and third-party service providers. Maintain accurate network diagrams, configurations, and technical documentation. Implement network monitoring and alerting solutions. Support cloud connectivity, remote access, and hybrid network environments. Participate in infrastructure projects, technology upgrades, and network expansion initiatives. Ensure compliance with organizational security standards and industry best practices.<br>Required Qualifications:Bachelor's degree in Computer Science, Information Technology, Electronics, Telecommunications, or a related field. Minimum 5 years of hands-on experience in enterprise network administration and engineering. Strong understanding of TCP/IP networking concepts and network architecture. Experience managing medium to large enterprise networks. Excellent troubleshooting, analytical, and communication skills.<br>Required Technical Skills<br>Networking LAN/WAN Technologies TCP/IPIPv4 & IPv6Routing & Switching VLANsSTP/RSTPOSPFBGPEIGRPNATDHCPDNS<br>Network Security Firewalls VPN (IPSec & SSL) ACLsNetwork Segmentation IDS/IPSNetwork Access Control (NAC) Multi-Factor Authentication (MFA)<br>Wireless Networking Enterprise Wi-FiWireless Controllers Access Point Deployment RF Optimization Wireless Security<br>Network Monitoring & Management Solar Winds PRTGZabbix Nagios Wireshark SNMPNet Flow<br>Vendors Experience with one or more of the following:Cisco Juniper Fortinet Aruba Palo Alto Networks HPE Networking<br>Cloud Networking (Preferred) Microsoft Azure Amazon Web Services (AWS) Google Cloud Platform (GCP)<br>Operating Systems Windows Server Linux<br>Automation (Preferred) Python Power Shell Ansible<br>Preferred Certifications:Candidates with one or more of the following certifications will have an advantage:Cisco Certified Network Professional (CCNP) Cisco Certified Network Associate (CCNA) Fortinet NSE Certification Palo Alto Networks Certified Network Security Engineer (PCNSE) Juniper Networks Certified Professional (JNCIP) Aruba Certified Professional AWS Certified Advanced Networking – Specialty Microsoft Azure Network Engineer Associate (AZ-700)
Company Description Starways is a Saudi technology partner specializing in complex government digital transformation initiatives. Since 2009, the company has delivered over 100 projects for more than 70 government clients, maintaining a 99% on-time delivery rate. Starways designs and operates government-grade platforms that comply with SDAIA, PDPL, NCA, and ISO frameworks, supporting critical public services from housing and inspection to trade licensing and citizen digital journeys. Its core capabilities span Digital Government Platforms, AI & Data, Cloud & Dev Ops, Enterprise Applications, RPA, and Technical Outsourcing. Starways is trusted by leading Saudi government entities, including the Ministry of Housing, NHC, ELM, Ministry of Energy, SASO, DGA, and many others.<br>Role Description This is a full-time, on-site Data Scientist role based in Riyadh, Saudi Arabia. The Data Scientist will work closely with cross-functional teams to design and implement data-driven solutions that support government platforms and digital services. Day-to-day responsibilities include collecting, cleaning, and modeling data; performing statistical and exploratory analyses; and building predictive and machine learning models to address complex business and policy questions. The role involves creating dashboards and visualizations to communicate insights to technical and non-technical stakeholders, as well as documenting methodologies and presenting findings in a clear, actionable manner. The Data Scientist will contribute to continuous improvement of data pipelines, collaborate on AI and analytics initiatives, and help ensure that solutions meet regulatory and compliance requirements.<br>Qualifications<br> Candidates should possess strong skills in Data Science and Data Analytics for building models, deriving insights, and solving complex analytical problems. Candidates should possess practical experience in Data Analysis and Statistics for hypothesis testing, experimental design, and rigorous quantitative evaluation. Candidates should possess proficiency in Data Visualization for designing dashboards and reports that clearly communicate trends and performance indicators. Proficiency in programming languages such as Python or R, and experience with data tools (e.g., SQL, Pandas, Num Py, scikit-learn, or similar frameworks). Experience with machine learning techniques and model lifecycle, including feature engineering, evaluation, deployment, and monitoring. Familiarity with cloud platforms and data infrastructure (e.g., AWS, Azure, or GCP), and version control tools such as Git. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly to diverse stakeholders. Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field; experience in government or regulated industries is an advantage.
Company Description Raqmeyat is an IT solutions company with over 20 years of experience, focused on enabling business continuity and sustainable growth through practical, cost-effective, and customized technology solutions. With headquarters in Cairo, Riyadh, and Dubai, the company serves clients across diverse industries and business environments in the Middle East and Africa. Raqmeyat’s portfolio includes Microsoft services, Odoo implementations, cloud computing, cybersecurity, data center and networking, web development, and managed services. Its certified experts provide tailored consultation and implementation based on each client’s specific needs and policies, and act as a reliable partner when unexpected challenges arise. Candidates can learn more about Raqmeyat’s services and clients by exploring the company’s online presence and regional operations.<br>Role Description The Senior Odoo Implementer is a full-time, on-site role based in Riyadh, responsible for leading end-to-end implementation of Odoo ERP solutions for a variety of clients. Day-to-day responsibilities include gathering and analyzing business requirements, designing system workflows, configuring Odoo modules, and supervising data migration and system integration activities. The role involves collaborating closely with clients to conduct demonstrations, user training, and post-implementation support, ensuring solutions are aligned with business processes and industry best practices. The Senior Odoo Implementer will also work with internal technical teams to manage customizations, troubleshoot issues, and optimize system performance. Additionally, this position contributes to documentation, continuous process improvement, and mentoring junior team members on Odoo implementation standards.<br>Qualifications<br> Strong Odoo expertise, including hands-on experience in implementing, configuring, and customizing core Odoo modules (such as Sales, CRM, Inventory, Accounting, HR, and Manufacturing). Solid business analysis and process mapping skills, with the ability to translate complex operational requirements into clear functional specifications and system workflows. Technical proficiency in areas such as Python, Postgre SQL, Odoo framework, and basic integrations (APIs, web services), enabling effective collaboration with development teams. Project management capabilities, including planning, stakeholder communication, risk management, and delivering implementations on time and within scope. Client-facing and consulting skills, with experience leading workshops, conducting user training, managing expectations, and providing ongoing functional support. Strong documentation, troubleshooting, and problem-solving abilities, with attention to detail and a focus on solution quality and system stability. Excellent written and verbal communication skills in English; proficiency in Arabic is beneficial for collaboration with regional clients. Bachelor’s degree in Computer Science, Information Systems, Business, Engineering, or a related field; relevant Odoo or ERP certifications are a plus. Prior experience in ERP implementation
We are looking for AI Engineer to join Ninja and play a foundational role in building our AI function. This position is focused on designing, developing, and deploying production-ready agentic AI systems that deliver real business impact. You will work on customer care automation, knowledge management pipelines, and intelligent targeting and decision-making engines, ensuring scalable, reliable, and high-performance AI solutions. This is a hands-on engineering role for someone who enjoys shipping production systems rather than building experimental prototypes, and who is excited to shape the future of AI at Ninja.<br><br>Requirements<br><br>Strong Python (3.11+), with production experience in Fast API services Agentic workflow design: Has designed or built multi-step agentic workflows, and understands the tradeoffs between deterministic state machines / graphs and open-ended ReAct-style agents. LLM integration: Has built directly against the Anthropic and/or Open AI SDKs in production. Comfortableworking without heavy abstraction layers Lang Graph experience is a plus Retrieval judgment: Understands when structured/keyed database lookups beat vector search, and hasimplemented RAG when it's actually the right tool Data layer: Comfortable with Postgre SQL, SQLAlchemy 2.0 (async), Alembic migrations, pgvector, and Redisfor session/state management Production discipline: Has shipped systems with real guardrails: cost controls, latency budgets,escalation/fallback paths, and evaluation loops Familiarity with an LLM observabilitytool (Langfuse, Lang Smith, Helicone, or equivalent) is expected Prompt engineering & evals: Practical experience writing, testing, and iterating on prompts, including building orusing eval frameworks to catch regressions MCP / tool-serving: Exposure to MCP (Model Context Protocol) servers or similar tool-exposure patterns for AI assistants is a strong plus Multilingual (nice-to-have): Experience with Arabic or other non-English LLM applications (dialect handling,multilingual evals) Public Git Hub required: A public Git Hub profile with real, browsable work — personal projects, open-source contributions, or code samples they can point to. Solid hands-on experience: Genuine hands-on builder, not someone who has only architected or managed They should be able to walk through code they personally wrote line-by-line, including decisions and mistakes Ownership and proactivity. This is a founding role with minimal oversight. We need someone who identifies problems and drives them to done without being told step-by-step what to do Riyadh-based (or hybrid). Based in Riyadh, or willing to work hybrid with regular in-person presence in Riyadh.
About The Company<br><br>Aligned with Saudi Arabia's Vision 2030, we harness the Kingdom's rapidly developing talent and technological advancements to support economic diversification and drive industry transformation through cutting-edge AI, computer vision, and automation. Our solutions are strategically designed to empower startups and enterprises with a competitive edge by leveraging local talent and infrastructure, advancing the region's human capital development. Through ethical innovation and transparency-focused partnerships, we actively contribute to the Kingdom's ambitious objectives, championing a high-tech, sustainable future.<br><br>About The Role<br><br>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.<br><br>Key Responsibilities<br><br>Design high-level and low-level architectures for banking AI applications Securely integrate modern AI applications with core banking systems and databases Evaluate and select optimal LLMs, vector stores, and machine learning platforms Ensure enterprise-grade high availability, low latency, and system scalability Embed financial regulatory compliance, risk mitigation, and data privacy into every design decision Partner with engineering, security, and platform teams through the full delivery lifecycle<br><br>Requirements<br><br>8+ years in enterprise IT, including 3+ years architecting AI solutions specifically within banking/financial services Hands-on experience with AI & data platforms: Data Robot, SAS Enterprise Guide, and open-source LLM frameworks Strong grounding in architecture patterns: microservices, API gateways, event-driven architecture, secure banking cloud landing zones CI/CD & MLOps proficiency: Git Lab CI/CD, Docker, Kubernetes, MLflow, automated model testing frameworks Advanced Python skills — Pandas, Num Py, Matplotlib, Seaborn, Lang Chain, Llama Index Strong communication skills to translate technical architecture into business-relevant terms for stakeholders<br><br>Why Join Us<br><br>Architect enterprise-scale AI solutions inside a live banking transformation program Own technical decisions from blueprint to production — real build authority, not just advisory Work at the intersection of cutting-edge AI and strict financial-sector compliance Be part of a forward-looking organization driving AI-led transformation in the region<br><br>Disclaimer<br><br>Code Ninja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, and performance. Female and minorities are strongly encouraged and preferred to apply for the role.
Data and ML Platform Engineer<br>Purpose of the Job To design, build, and maintain scalable data pipelines and architecture that enable reliable, high-quality data availability across port operations. The role will be critical in integrating operational systems such as Navis N4 Terminal Operating System, IoT platforms, and enterprise systems to support analytics, reporting, and AI-driven decision-making across Group RSGT.<br>Reporting ToData Science Senior Manager Working Conditions Within the terminal – both indoor and outdoor.<br>Required Experience3–6 years of experience in data engineering or backend data systems. Experience working with operational or industrial datasets preferred. Proven ability to build and maintain data pipelines in production environments.<br>Education Requirements Bachelor’s or master’s degree in computer science, Data Engineering, Information Systems, or a related field.<br>Skills / Attributes Strong SQL and data modelling expertise. Proficiency in Python for data engineering (ETL, pipelines). Experience working with APIs and large datasets. Understanding of cloud platforms (Azure preferred). Strong problem-solving and system design skills. <br>Key Accountabilities / Responsibilities<br>Data Engineering and Integration Design and develop data pipelines to ingest data from operational systems including Navis N4, equipment systems, and enterprise platforms. Build ETL/ELT processes for batch and near real-time data ingestion. Integrate structured and unstructured data sources across terminal operations. Ensure seamless data flow between operational systems and analytics platforms.<br>B. Data Architecture and Management Develop and maintain scalable data models to support reporting and analytics. Support implementation of data warehouse / data lake architecture. Optimize database performance and ensure efficient query execution. Maintain metadata, data lineage, and documentation standards.<br>C. Data Quality and Governance Ensure data accuracy, consistency, and completeness across datasets. Implement data validation, monitoring, and quality control mechanisms. Collaborate with IT and Data Science teams to enforce data governance standards. Support compliance with data security and regulatory requirements.<br>D. Analytics Enablement Prepare clean, structured datasets for use in dashboards and analytics tools such as Microsoft Power BI.<br>Enable data availability for key use cases such as: Crane utilization tracking. Vessel turnaround analysis. Yard optimization. Support Data Science team in model development and deployment.<br>E. Performance and Continuous Improvement Identify opportunities to automate manual data processes. Improve pipeline efficiency and reduce data latency. Support scalability of data infrastructure as business needs evolve.<br>Competencies: Analytical Thinking Problem Solving Collaboration & Influence Results Orientation Innovation Data-Driven Decision Making Integrity Dynamic
???? We’re Hiring "Senior SOC Analyst" to join our team in KSA????<br>Zone a market leader in IT services, is excited to expand its team! We are looking for Senior SOC Analyst to join us in KSA.<br>We are seeking a highly skilled and proactive Senior SOC Analyst to join our Cybersecurity team. The successful candidate will be responsible for maturing our detection capabilities through proactive threat hunting, developing complex SIEM use cases, and integrating threat intelligence to stay ahead of sophisticated adversaries.<br><br>???? Key Responsibilities:-Continuous Monitoring:Monitor security alerts and network traffic to detect suspicious activities and potential breaches.-Threat Hunting:Proactively search for hidden threats and vulnerabilities within the network that may bypass traditional security controls.-Incident Response:Support the incident response team by providing technical analysis of detected threats and assisting in containment and remediation. SIEM Management: Manage and fine-tune Security Information and Event Management (SIEM) tools to improve detection accuracy and reduce false positives.-Log Analysis:Analyze logs from various sources (firewalls, servers, endpoints) to reconstruct the timeline of security incidents.-Reporting:Prepare detailed technical reports on detected threats, trends, and the effectiveness of current security measures for management.-Compliance:Ensure all detection activities align with Saudi Arabian cybersecurity regulations (e.g., NCA and SAMA frameworks).<br><br>???? Required Skills & Qualifications:-Bachelor’s degree in computer science, Cybersecurity, Information Technology, or a related field.-Saudi Nationality.-Minimum of 2-4 years of specialized experience in SOC operations, with a proven track record in L2 or L3 responsibilities.-Advanced proficiency in SIEM & EDR solutions (e.g., Splunk ES, Crowd Strike, Microsoft Sentinel).-Expertise in the MITRE ATT&CK framework for mapping and detecting adversary behavior.-Strong knowledge of memory forensics, network forensics, and log correlation.-Scripting proficiency in Python or Power Shell for automation and tool development.<br>Professional Certifications Highly preferred:· GCIA (GIAC Certified Intrusion Analyst) or GCIH (GIAC Certified Incident Handler).· GCFA (GIAC Certified Forensic Analyst).· CHFI (Computer Hacking Forensic Investigator).· OSCP (Offensive Security Certified Professional) - valued for understanding attacker mindsets.· CCTHP (Certified Cyber Threat Hunting Professional).<br><br>???? Interested? Send your CV on zeina.kira@zone.net.sa Feel free to share this post with your connections who might be interested in this opportunity! Join Zone for a collaborative environment and elevate your career in the realm of IT. ????#Cyber Security#SOCAnalyst#Senior SOCAnalyst#Security Operations Center#Information Security#Blue Team#Threat Detection#Incident Response#SIEM#Threat Hunting#Cyber Defense#Network Security#Security Monitoring#DFIR#Security Engineer#Cyber Threat Intelligence#Log Analysis#Splunk#QRadar#Azure Security
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Mindrift is looking for skilled Bot Developers (WhatsApp Business API, Telegram Bot API, Discord API) to join the Tendem project ( https://tendem.ai/ ) and build conversational bots and messaging-platform integrations within our hybrid AI + human environment. In this role, as an AI Pilot that's how we refer to this position at Mindrift you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide bot engineering expertise, conversational design judgment, and quality control to ensure bots are reliable, useful, and ready for real users. This part-time remote opportunity is ideal for professionals with hands-on experience building messaging bots, working with platform APIs and webhooks, and implementing conversational logic.</p><p>What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.</p><p>About the Role This is a freelance role for a Tendem project. As a Bot Developer, you'll design, build, and refine messaging bots across WhatsApp, Telegram, Discord, and similar platforms for use cases such as customer service, appointment booking, order taking, content delivery, moderation, and automated notifications.</p><p>Key Responsibilities</p><ul><li>Build bots for WhatsApp (Business API / Cloud API), Telegram (Bot API), Discord, and similar messaging platforms.</li><li>Design and implement conversational flows, dialogue state, and fallback handling.</li><li>Integrate bots with LLMs (OpenAI, Anthropic, or similar) for natural language responses where appropriate.</li><li>Connect bots to backend services, databases, CRMs, and third-party APIs (booking systems, payment, content sources).</li><li>Handle webhooks, rate limits, and platform-specific message formats (interactive messages, buttons, media, templates).</li><li>Evaluate AI-generated bot code and refactor it for correctness, reliability, and graceful error handling.</li><li>Implement logging, monitoring, and recovery so bots stay healthy in production.</li></ul><p>Requirements and benefits</p><p>Educational qualifications</p><ul><li>At least 3 years of relevant experience backend, integration, automation, or bot development experience (required).</li><li>Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.</li></ul><p>Academic and/or Professional Experience</p><ul><li>Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows.</li><li>We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and refine AI-assisted output into stable, user-friendly experiences.</li><li>Strong problem-solving skills, attention to detail, and the ability to work independently are essential.</li></ul><p>Technical Skills (Essential)</p><ul><li>At least 1 year of hands-on experience building bots for major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required</li><li>Strong command of Python or Node.js for backend bot logic.</li><li>Solid experience with REST APIs, webhooks, OAuth, and async request handling.</li><li>Experience with relational or NoSQL databases for storing conversation state and user data.</li><li>Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus.</li><li>Understanding of platform-specific limits, message templates, and approval flows (e.g., WhatsApp template messages).</li><li>Experience with hosting and deployment (Docker, serverless, VPS, or PaaS)</li></ul><p>Additional requirements</p><ul><li>Strong attention to detail and commitment to bot reliability no silent failures, no broken flows.</li><li>Self-directed work ethic with the ability to design and ship complete bots independently.</li><li>Portfolio or examples of bots you've built (required).</li><li>English proficiency: Upper-intermediate (B2) or above (required).</li></ul><p>Project time expectations</p><ul><li>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</li></ul><p><br></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>At least 3 years of relevant experience backend, integration, automation, or bot development experience (required).</li><li>Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.</li><li>Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows.</li><li>We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and refine AI-assisted output into stable, user-friendly experiences.</li><li>Strong problem-solving skills, attention to detail, and the ability to work independently are essential.</li><li>At least 1 year of hands-on experience building bots for major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required</li><li>Strong command of Python or Node.js for backend bot logic.</li><li>Solid experience with REST APIs, webhooks, OAuth, and async request handling.</li><li>Experience with relational or NoSQL databases for storing conversation state and user data.</li><li>Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus.</li><li>Understanding of platform-specific limits, message templates, and approval flows (e.g., WhatsApp template messages).</li><li>Experience with hosting and deployment (Docker, serverless, VPS, or PaaS)</li><li>Strong attention to detail and commitment to bot reliability no silent failures, no broken flows.</li><li>Self-directed work ethic with the ability to design and ship complete bots independently.</li><li>Portfolio or examples of bots you've built (required).</li><li>English proficiency: Upper-intermediate (B2) or above (required).</li></ul><p></p></section>