Python Developer Jobs - Riyadh Saudi

<h3 >About the Role: Junior Automation Specialist</h3> <p >Bavarian Capital is expanding its technical capabilities to support a major investment group in Riyadh, Saudi Arabia. We are seeking a <strong >Junior Automation Specialist</strong> to join our team. This full-time, remote position is designed for individuals with 0-1 years of experience who are eager to contribute to the modernization of digital systems for data processing and reporting.</p> <h3 >Role Overview and Contribution</h3> <p >As a Junior Automation Specialist, you will work within our technical operations team to identify manual tasks suitable for improvement through scripting and software integration. This entry-level role provides an opportunity to learn and apply automation tools to real-world financial data and investment reporting. Your focus will be on enhancing reliability and reducing errors in daily operations, ensuring that our data serves as a trusted foundation for decision-making. Operating as a fully remote firm, Bavarian Capital offers autonomy in managing daily tasks while maintaining regular communication with colleagues through digital channels.</p> <h3 >Key Responsibilities</h3> <ul > <li >Assist in the design and deployment of basic automation scripts for data entry and information extraction.</li> <li >Monitor existing workflows to ensure correct operation and address minor errors during processing.</li> <li >Help document new automated processes to facilitate understanding and adherence to system logic by team members.</li> <li >Coordinate with the data team to identify manual bottlenecks and propose technical improvements using automation.</li> <li >Test new automation tools in a controlled environment prior to deployment in production systems.</li> <li >Update and maintain technical documentation to reflect changes in system logic or data sources.</li> <li >Participate in regular team review meetings to discuss the performance of the current automation suite.</li> <li >Support the transition of legacy spreadsheets into more durable and automated database formats.</li> <li >Maintain a high standard of data integrity through routine checks on automated outputs.</li> </ul> <h3 >Required Qualifications and Skills</h3> <p >Candidates should possess 0-1 years of relevant experience and demonstrate the following:</p> <ul > <li >A fundamental understanding of scripting languages such as Python or JavaScript, acquired through academic studies or personal projects.</li> <li >Familiarity with basic database structures and the ability to retrieve information using SQL.</li> <li >A methodical approach to problem-solving and strong attention to detail when testing software or scripts.</li> <li >The ability to communicate technical concepts clearly to non-technical team members.</li> <li >A disciplined work ethic conducive to productivity and focus in a fully remote professional setting.</li> <li >Curiosity regarding the technical and operational functions of financial services and investment groups.</li> <li >Basic knowledge of automation platforms or low-code tools for data exchange between software applications.</li> </ul> <h3 >About Bavarian Capital and Our Work Environment</h3> <p >At Bavarian Capital, we prioritize stability and clarity in all operations. We believe in providing professionals with the space to focus without unnecessary distractions or shifting priorities. Our firm operates on a fully remote model, designed to attract and empower talent by offering an environment conducive to producing optimal results. We value colleagues who take pride in their craft and appreciate a predictable, well-organized workplace. Our culture is built on mutual respect and straightforward communication, supporting long-term career development within a supportive professional home.</p> <h3 >Application Process</h3> <p >We invite qualified candidates to apply for this opportunity to contribute to our technical operations in Riyadh.</p>

<p>In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what s possible.</p><p>Parsons is seeking a highly specialized and experienced GIS Manager , to join our critical team on the prestigious Qiddiya Project in Riyadh. The GIS Manager leads complex production planning and delivery of geographic information system (GIS) services for large programs and projects. This role oversees sector wide GIS production, staffing coordination and technical guidance, using GIS principles, techniques and analyses to drive team productivity and ensure high quality geospatial deliverables. The GIS Manager functions as the primary technical authority on GIS matters, defining data models, workflows and standards, and ensuring that spatial data is accurate, validated and fit for reliable analysis and decision making.</p><p>What you'll be doing:</p><ul><li>Oversee management of sector wide GIS initiatives, GIS production, functionalities, troubleshooting, practices and procedures.</li><li>Provide expert guidance and assume responsibility for the quality of GIS deliverables developed for the program/project.</li><li>Perform in a lead capacity for geospatial model delivery, management and integration with other digital models.</li><li>Determine methods and solutions for complex GIS mapping challenges and select the most efficient plan for implementation.</li><li>Participate in budget and cost forecasting analysis in support of the management team.</li><li>Support preparation of competitive technical and commercial proposals, including GIS scope, approach and resource estimates.</li><li>Communicate project objectives, plans and status to the project team and management, ensuring alignment on GIS activities and deliverables.</li><li>Assist in developing initial level of effort estimates required to cover all GIS work within the proposed scope, with minimal supervision.</li><li>Continuously monitor, evaluate and improve GIS delivery, identifying opportunities for automation, optimization and innovation.</li><li>Provide leadership in defining data types, relationships, constraints and indexes to enable efficient querying and spatial analysis.</li><li>Monitor team assignments and productivity; support management in organizing staffing/resource assignments for GIS tasks.</li><li>Train and develop team members, including:</li><ul><li>Developing training plans and supervising training needs assessments</li><li>Creating detailed training manuals and GIS tutorial videos</li><li>Providing advanced technical support and coaching in the use of GIS systems, software and databases</li></ul><li>Manage spatial accuracy of data representations to ensure reliable spatial analysis.</li><li>Advance and confirm data completeness and validation for robust spatial analysis and decision making.</li><li>Serve as subject matter expert and primary contact for client(s) and agencies on all technical GIS matters.</li><li>Generate detailed reports on GIS delivery, including key performance indicators (KPIs) and progress metrics.</li><li>Oversee development of model builders and customized tools to streamline geospatial tasks and workflows.</li><li>Oversee implementation and optimization of database design and administration processes for spatial data.</li><li>Manage databases to maintain accuracy, consistency and integrity of geospatial data.</li><li>Oversee management and tracking of task assignments, data management activities, preparation of data model structures and data transformation processes.</li><li>Oversee definition and enforcement of topology rules to maintain data integrity and spatial accuracy.</li><li>Maintain a risk averse approach while reviewing geospatial outputs and proposing mitigation solutions for identified risks.</li><li>Collaborate with project teams for effective integration of GIS models with engineering, BIM and other digital models.</li><li>Perform in an advisory capacity to senior management on GIS related work matters, including strategy, technology adoption and resourcing.</li><li>Perform other responsibilities associated with this position as may be appropriate.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor s Degree in GIS, Geography, Geomatics, Engineering, Computer Science or related discipline (or equivalent work experience).</li><li>10 years of related work experience in GIS, spatial data management or geospatial analysis, including significant experience on large programs/projects.</li><li>Expert knowledge of commonly used core GIS, Computer Aided Design (CAD) and Building Information Management (BIM) software/database packages and workflows.</li><li>Expert knowledge of complex GIS production for large programs and projects, including multi site and multi disciplinary environments.</li><li>Ability to apply concepts to assignments including:</li><ul><li>Developing and managing workflows and processes</li><li>Troubleshooting and providing innovative solutions</li><li>Conducting capacity and capability assessments for GIS task teams</li><li>Staying current with emerging GIS technologies and setting GIS priorities</li></ul><li>Advanced skill in programming and scripting languages for GIS and automation tasks (e.g. Python , JavaScript ).</li><li>Ability to perform in a managerial capacity for database delivery, with effective leadership and organizational skills.</li><li>Effective leadership skills; capable of directing, guiding and supervising production staff in geospatial work.</li><li>Proficiency in building information modelling software and understanding of GIS BIM data integration principles.</li><li>Ability to lead and direct staff on GIS systems, software/technologies, database use and best practices.</li><li>Ability to generate detailed reports on GIS delivery for projects/programs, including KPI reporting and tracking.</li><li>Expert proficiency in various hardware and software used in GIS, CAD and BIM, and ability to manage hardware and software deployments in coordination with IT and responsible parties.</li><li>Ability to confirm that security settings and dedicated server sites for GIS data are effectively managed.</li><li>Expert understanding of Quality Assurance / Quality Control (QA/QC) standard practices and procedures; capable of guiding staff on quality implementation.</li><li>Strong understanding of desktop, web and mobile GIS applications, and associated workbenches/tools.</li><li>Ability to stay engaged with current technology and industry trends as they apply to GIS practices and standards.</li><li>Ability to communicate modelling, survey and GIS technical and non technical subjects clearly with management, engineering and production staff.</li><li>GIS related certification (e.g. GISPGISP GISP , Esri Technical Certifications or equivalent) is preferred.</li></ul>

<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>

<p>We are hiring a Data Engineer for the Data Services Team who will help us create our internal solutions such as a Feature Store and will be ready to perform operational tasks. Development Features store and other future data services; Development EL / ELT / ETL pipelines; Integration new tools for data processing and data storing; 3-5 years of experience as Data Engineer, ML Engineer, Backend Engineer; Experience in developing high-load and scalable data processing and storage systems; Good knowledge and background in event driving systems and streaming pipelines; Python + best practice for Python; SQL + best practice for SQL; System design best practices; Familiar with tech stack as Airflow, Debezium, BigQuery / Clickhouse, PostgreSQL / CockroachDB, Docker, GitLab(CI/CD), GCP; REST API / GRPC API / Message brokers &amp; Queues. Bonus skills GO development experience; Experience on modern systems of data storing: Relational, MPP, NoSQL; Experience on Google Cloud Platform.</p><p><strong>Desired Candidate Profile</strong></p><p>3-5 years of experience as Data Engineer, ML Engineer, Backend Engineer; Experience in developing high-load and scalable data processing and storage systems; Good knowledge and background in event driving systems and streaming pipelines; Python + best practice for Python; SQL + best practice for SQL; System design best practices; Familiar with tech stack as Airflow, Debezium, BigQuery / Clickhouse, PostgreSQL / CockroachDB, Docker, GitLab(CI/CD), GCP; REST API / GRPC API / Message brokers &amp; Queues. Bonus skills GO development experience; Experience on modern systems of data storing: Relational, MPP, NoSQL; Experience on Google Cloud Platform.</p>

<p>You will design, build, and maintain software engineering solutions that deliver reliable, scalable performance while supporting the team s roadmap and quality goals.</p><p>Create and improve production-ready systems that meet performance, reliability, and scalability requirements delivering features on time, reducing incidents, and maintaining high code quality through tests, documentation, and collaborative engineering practices.</p><p><strong>Job Duties and Responsibilities</strong></p><ul><li>Programming (Java/Python/C#/JavaScript)</li><li>APIs and microservices</li><li>Cloud platforms (AWS/Azure/GCP)</li><li>Databases (SQL/NoSQL)</li><li>Testing (unit/integration)</li><li>CI/CD pipelines</li><li>Problem-solving and analytical thinking</li><li>Team collaboration and communication</li><li>Ownership and accountability</li><li>Attention to detail</li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Qualifications</strong></p><p><strong>Required Qualifications</strong></p><ul><li>Programming (Java/Python/C#/JavaScript)</li><li>APIs and microservices</li><li>Databases (SQL/NoSQL)</li><li>Cloud platforms (AWS/Azure/GCP)</li><li>Testing (unit/integration)</li><li>CI/CD pipelines</li><li>Problem-solving and analytical thinking</li><li>Team collaboration and communication</li><li>Ownership and accountability</li><li>Attention to detail</li></ul>

<p>We are seeking a Software Engineer to design, build, and maintain reliable, scalable software systems for product and internal platforms based in Riyadh. Job Purpose Deliver on-time features that meet acceptance criteria while improving system performance and reliability through maintainable code, robust automation, and proactive production support. Job Duties and Responsibilities Design and build scalable software systems JavaScript/TypeScript Java or Python REST API development SQL and database design Git and CI/CD pipelines Automated testing (unit/integration) Problem-solving for production issues Ownership and accountability Collaboration and teamwork Clear communication Maintainable code and documentation</p><p><strong>Desired Candidate Profile</strong></p><p>Required Qualifications JavaScript/TypeScript Java or Python REST API development SQL and database design Git, CI/CD pipelines Automated testing (unit/integration) Problem-solving Collaboration and teamwork Clear communication Ownership and accountability Experience meeting performance, reliability, and scalability goals</p>

<h3 >About the Role</h3> <p >Accenture Middle East is seeking an <strong >AI &amp; Machine Learning Consultant</strong> to join its team in Riyadh, Saudi Arabia. In this full-time role, the consultant will be responsible for designing, developing, and deploying enterprise-grade AI and Machine Learning solutions. This position focuses on leveraging cloud-native AI services, Generative AI technologies, and advanced MLOps practices to build scalable, production-ready AI systems that drive business innovation and operational efficiency. The consultant will work across the entire AI lifecycle, transforming data into intelligent solutions while ensuring performance, scalability, and business value.</p> <h3 >Key Responsibilities</h3> <ul > <li >Design and develop Artificial Intelligence (AI) and Machine Learning (ML) solutions using cloud-native AI and analytics services.</li> <li >Build and maintain scalable data pipelines that support model training, deployment, monitoring, and production operations.</li> <li >Implement DevOps and MLOps practices to streamline model development, automation, deployment, and lifecycle management.</li> <li >Customize, fine-tune, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions to address specific business needs.</li> <li >Design AI solutions that operate efficiently across cloud environments, edge devices, and High-Performance Computing (HPC) infrastructures.</li> <li >Evaluate model performance and communicate solution effectiveness through measurable business outcomes and technical metrics.</li> <li >Conduct research and development activities focused on emerging AI technologies, algorithms, simulation techniques, and advanced computational methods.</li> <li >Work with large-scale structured and unstructured datasets, applying appropriate data preparation, preprocessing, and feature engineering techniques.</li> <li >Develop and maintain efficient data, model, and knowledge storage architectures to support AI applications and retrieval capabilities.</li> <li >Collaborate with cross-functional teams including architects, data engineers, software engineers, and business stakeholders to deliver scalable AI solutions.</li> <li >Ensure AI solutions align with enterprise security, governance, compliance, and Responsible AI requirements.</li> <li >Continuously improve AI engineering standards, frameworks, and best practices to accelerate enterprise AI adoption.</li> </ul> <h3 >Basic Qualifications</h3> <ul > <li >4-7 years of experience in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, or related technical disciplines.</li> <li >Hands-on experience designing, developing, and deploying AI/ML applications in enterprise environments.</li> <li >Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.</li> <li >Experience with Deep Learning, Generative AI, Large Language Models (LLMs), and modern AI development frameworks.</li> <li >Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud and their AI/ML services.</li> <li >Experience building data pipelines and implementing MLOps practices for model deployment, monitoring, and optimization.</li> <li >Strong understanding of data engineering concepts, data preprocessing, feature engineering, and model evaluation methodologies.</li> </ul> <h3 >Preferred Skills and Experience</h3> <ul > <li >Experience developing and deploying Generative AI applications, foundation models, and LLM-based solutions.</li> <li >Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, knowledge management, and AI orchestration frameworks.</li> <li >Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.</li> <li >Familiarity with edge AI deployments, distributed computing environments, and High-Performance Computing (HPC) architectures.</li> <li >Experience implementing AI observability, model monitoring, and production support frameworks.</li> <li >Strong analytical, problem-solving, and stakeholder management skills.</li> <li >Relevant certifications in Artificial Intelligence, Machine Learning, Data Engineering, or Cloud Platforms.</li> </ul> <h3 >Work Environment and Location</h3> <p >This is a full-time position based in Riyadh, Saudi Arabia, within Accenture Middle East. The role involves close collaboration with diverse cross-functional teams, including architects, data engineers, software engineers, and business stakeholders, to deliver robust and scalable AI solutions.</p> <h3 >Application Information</h3> <p >Candidates who meet the outlined qualifications are encouraged to apply.</p>

<h3 >Role Overview</h3> <p >Scale AI is seeking an experienced <strong >Product Manager of AI Applications Global Public Sector</strong> to join its team in Riyadh. This full-time position involves leading the ideation and development of transformative AI solutions for government entities outside of the United States. The role requires an entrepreneurial product leader to drive significant AI projects and contribute to the company's growth in the public sector.</p> <h3 >About Scale AI's Global Public Sector Team</h3> <p >The Global Public Sector team at Scale AI is responsible for generating, executing, and fostering the company's work with governments and government-backed entities internationally. The team develops bespoke solutions that leverage customer proprietary data and expertise to transform organizations with AI. These applications are powered by the Scale GenAI Platform, a full-stack product designed for building, testing, and deploying frontier AI systems. The team's work includes:</p> <ul > <li >Developing custom AI applications.</li> <li >Building custom Large Language Models (LLMs).</li> <li >Providing high-quality training data for research and government institutions building LLMs.</li> <li >Developing partnerships to foster regional talent growth and AI adoption.</li> </ul> <h3 >Key Responsibilities</h3> <p >The Product Manager will lead large AI projects for one or multiple customers, guiding a cross-functional team to build impactful solutions. Core responsibilities include:</p> <ul > <li >Leading design workshops with clients to define custom AI solutions.</li> <li >Scoping new AI application use cases across various government entities.</li> <li >Leading cross-functional development of AI applications and custom LLMs with diverse stakeholders (Engineering, Operations, Go-to-Market).</li> <li >Engaging consistently with future end-users to solicit feedback and ensure effective prioritization.</li> <li >Staying informed about the latest research in applied AI and custom LLMs.</li> <li >Scoping model evaluation sets and performance requirements, reviewing results, and iterating on solutions.</li> <li >Providing regular progress updates to clients and International Public Sector leadership.</li> </ul> <h3 >Required Qualifications</h3> <p >Candidates for this role typically possess 5-10 years of professional experience, demonstrating a strong foundation in product leadership and AI application development. Essential qualifications include:</p> <ul > <li >Deep experience with AI/ML application development.</li> <li >Ability to think strategically about problem-solving.</li> <li >Comfort with operational details and execution.</li> <li >Strong understanding of software engineering principles and practices.</li> <li >Strong interest in developing AI applications that deliver quantifiable impact.</li> <li >A mission-driven mindset with a commitment to continuous learning and rapid professional growth.</li> </ul> <h3 >Preferred Skills and Experience</h3> <p >The ideal candidate will also bring additional skills and experiences, including:</p> <ul > <li >At least 4 years of experience building products, with specific experience within the last 1-2 years building AI-powered products.</li> <li >Coding experience (Python).</li> <li >Proficiency in Arabic, both written and spoken.</li> <li >A strong technical background (STEM degree) and/or experience building technical software products.</li> <li >A strong understanding of generative AI technologies and their applications in both enterprise and consumer settings.</li> <li >Experience with vibe coding tools (*, Replit, Lovable, Bolt) and design tools (*, Figma, Canva, Miro).</li> <li >Demonstrated leadership, presentation, and communication skills with the ability to influence cross-functional teams.</li> </ul> <h3 >Work Environment and Impact</h3> <p >This role operates within a rapidly growing team focused on high-impact projects. The Product Manager will lead a cross-functional team of engineers, Machine Learning Engineers (MLEs), and operators to build solutions that drive significant revenue for the business. The position is based in Riyadh and is a full-time commitment.</p>

<h3 >About the Role: Systems Engineer Channel</h3> <p >Fortinet is seeking a <strong >Systems Engineer Channel</strong> to join our team in Riyadh, Saudi Arabia. This full-time role is central to driving success with our channel partners, serving as a trusted technical advisor and solution architect. The position supports channel sales efforts by engaging with partners and clients to demonstrate the technical value of Fortinet products, design custom security solutions, and provide essential technical enablement. The Systems Engineer Channel will work closely with both internal teams and external channel partners to ensure the successful integration, deployment, and ongoing support of our cybersecurity solutions.</p> <h3 >Technical Pre-Sales and Partner Enablement</h3> <ul > <li >Provide technical expertise and guidance during partner and customer pre-sales engagements, including product demonstrations, Proof of Concepts (POCs), and presentations.</li> <li >Collaborate closely with channel sales teams to understand customer requirements and design custom security solutions tailored to their needs.</li> <li >Address partner technical queries and concerns, offering practical solutions to ensure alignment with business goals.</li> <li >Conduct training and technical enablement sessions for channel partners, equipping them with the knowledge to sell and implement cybersecurity products effectively.</li> <li >Collaborate with marketing and product teams to create and deliver technical training materials, documentation, and toolkits for partner education.</li> <li >Stay up-to-date with the latest cybersecurity products, technologies, and trends to serve as a technical thought leader for partners.</li> </ul> <h3 >Solution Design and Technical Account Management</h3> <ul > <li >Work with channel partners to architect and design security solutions based on Fortinet's product portfolio, including threat detection, firewall, endpoint security, and cloud security.</li> <li >Provide support in configuring, implementing, and troubleshooting solutions, ensuring seamless integration into the client’s environment.</li> <li >Serve as a technical advisor for key channel partners, providing ongoing post-sales support and consultation to maximize product adoption and customer satisfaction.</li> <li >Collaborate with partners on complex customer requirements, ensuring the right cybersecurity strategies are implemented.</li> <li >Act as the bridge between the channel partner and internal support or R&amp;D teams to resolve technical issues promptly.</li> </ul> <h3 >Collaboration and Cross-Functional Support</h3> <ul > <li >Liaise with product management and R&amp;D teams to communicate customer feedback and influence product development.</li> <li >Support channel partners with insights and recommendations on how to optimize deployments, integrations, and configurations for maximum performance.</li> <li >Assist in the creation of technical marketing content such as whitepapers, case studies, and product guides to support channel efforts.</li> </ul> <h3 >Required Qualifications</h3> <ul > <li >Bachelor's degree in Computer Science, Information Technology, or a related field. Equivalent work experience may be considered.</li> <li >A minimum of <strong >5 years of experience</strong> in system engineering, solution architecture, or technical support roles within the cybersecurity or IT industry.</li> <li >Experience working in a pre-sales capacity with channel partners or Value Added Resellers (VARs).</li> <li >Strong understanding of cybersecurity products and services, including firewalls, VPNs, IDS/IPS, SIEM, endpoint security, and cloud security.</li> </ul> <h3 >Technical Skills and Attributes</h3> <ul > <li >Hands-on experience with network security technologies, system architecture, and protocols.</li> <li >Proficiency in working with Linux/Unix, Windows, and cloud platforms (AWS, Azure, GCP).</li> <li >Knowledge of scripting languages such as Python or Bash is a plus.</li> <li >Certifications such as CISSP, CEH, CCNA Security, or other relevant cybersecurity certifications are a plus.</li> <li >Strong presentation and communication skills, with the ability to translate complex technical concepts into business value.</li> <li >Exceptional problem-solving skills and the ability to work independently in a fast-paced environment.</li> <li >Ability to build strong relationships and collaborate effectively with cross-functional teams and external partners.</li> </ul>

<p>We are looking for Senior Linux System Administrators with strong hands-on experience in Red Hat Enterprise Linux (RHEL) and Kubernetes to administer and support the infrastructure underpinning an HPC environment. The role focuses on system reliability, security, performance, automation, and availability .</p><p><b><br></b></p><p><b>Key Responsibilities</b></p><ul><li>Administer and maintain RHEL/Linux servers and HPC compute nodes .</li><li>Install, configure, patch, upgrade, and troubleshoot Linux operating systems .</li><li>Manage and support Kubernetes clusters, nodes, and workloads .</li><li>Perform Linux performance tuning, system hardening, and troubleshooting .</li><li>Monitor system health, capacity, performance, and availability .</li><li>Automate infrastructure administration using Ansible, Shell scripting, Python , or similar tools.</li><li>Support integration between compute, storage, networking, Kubernetes, and HPC platforms .</li><li>Troubleshoot complex Linux, Kubernetes, and infrastructure issues.</li><li>Implement security best practices across Linux and Kubernetes environments.</li><li>Support incident resolution, root-cause analysis, and preventive actions.</li><li>Maintain system configurations, technical documentation, and operational procedures.</li></ul><p>Strong hands-on experience as a Linux System Administrator / Linux Engineer / RHEL Administrator .</p><p>Expert-level administration of Red Hat Enterprise Linux (RHEL) .</p><p>Strong experience with Kubernetes administration and cluster management .</p><p>Experience supporting HPC environments / compute clusters is highly preferred.</p><p>Strong knowledge of:</p><ul><li>RHEL / Linux</li><li>Kubernetes</li><li>Linux performance tuning</li><li>Linux patching and hardening</li><li>System monitoring</li><li>Troubleshooting</li><li>Capacity management</li><li>Strong automation/scripting experience with Ansible, Shell/Bash, Python , etc.</li><li>Experience integrating compute, storage, and networking infrastructure .</li></ul><p>RHCE Red Hat Certified Engineer: Mandatory</p><p>CKA Certified Kubernetes Administrator: Preferred</p><p><strong>Desired Candidate Profile</strong></p><p>Strong hands-on experience as a Linux System Administrator / Linux Engineer / RHEL Administrator .</p><p>Expert-level administration of Red Hat Enterprise Linux (RHEL) .</p><p>Strong experience with Kubernetes administration and cluster management .</p><p>Experience supporting HPC environments / compute clusters is highly preferred.</p><p>Strong knowledge of:</p><ul><li>RHEL / Linux</li><li>Kubernetes</li><li>Linux performance tuning</li><li>Linux patching and hardening</li><li>System monitoring</li><li>Troubleshooting</li><li>Capacity management</li><li>Strong automation/scripting experience with Ansible, Shell/Bash, Python , etc.</li><li>Experience integrating compute, storage, and networking infrastructure .</li></ul><p>RHCE Red Hat Certified Engineer: Mandatory</p><p>CKA Certified Kubernetes Administrator: Preferred</p>

<p>You will design, build, and maintain software systems that deliver scalable, reliable engineering solutions. You ll partner with cross-functional teams to ship end-to-end releases while improving performance, reducing production incidents, and ensuring code quality through tests and documentation. Job Purpose To build and maintain high-quality software that meets performance, reliability, and scalability requirements delivering scheduled features, strengthening system stability, and enabling smooth release execution through effective engineering practices. Job Duties and Responsibilities Programming (Java/Python/JavaScript/C#) Design and development of scalable software systems Data structures and algorithms APIs and RESTful services Database fundamentals (SQL) Testing frameworks and maintainable automated tests CI/CD and release automation Problem-solving and analytical thinking Performance tuning and reliability engineering Defect triage, debugging, and incident reduction Team collaboration and communication Ownership and accountability Technical documentation and attention to detail</p><p><strong>Desired Candidate Profile</strong></p><p>Proficiency in at least one programming language (Java, Python, JavaScript, or C#) Strong understanding of data structures and algorithms Experience building APIs and RESTful services Working knowledge of database fundamentals and SQL Hands-on experience with testing frameworks and CI/CD pipelines Demonstrated problem-solving and analytical skills Ability to collaborate effectively and communicate clearly Track record of ownership fixing defects and preventing production incidents Attention to detail and commitment to maintainable, readable code Continuous learning mindset</p>

<p>LLM Solution Design & Development Architect and deliver production-ready LLM applications — conversational agents, intelligent assistants, and RAG pipelines with advanced retrieval and re-ranking. <br>Build multi-agent systems using LangGraph, AutoGen, or CrewAI; apply prompt engineering techniques to optimise model performance. <br>Integrate LLM solutions with enterprise systems via REST APIs and event-driven architectures. Model Fine-Tuning & Optimisation <br>Lead fine-tuning (LoRA, QLoRA, instruction tuning) and benchmark foundation models (OpenAI, Mistral, LLaMA, Gemini) for specific use cases. </p><p><strong>Desired Candidate Profile</strong></p><ul><li>At least 3-5 years of hands-on experience in developing AI models and applications, demonstrating a proven track record in the field.</li><li>Relevant certifications such as TensorFlow Developer, AWS Certified Machine Learning, or similar qualifications that validate expertise.</li><li>Proficiency in programming languages like Python and R, alongside familiarity with AI frameworks such as TensorFlow or PyTorch.</li><li>Experience with cloud platforms such as AWS, Google Cloud, or Azure, ensuring scalability and efficiency in AI solutions.</li><li>A proactive mindset and adaptability to thrive in fast-paced environments, eager to learn and implement new AI strategies.</li></ul>

<p><br></p><p><b>In this role, you will:</b></p><ul><li>Transform complex business challenges into data-driven intelligence by identifying high-value problems, framing them analytically, and engineering robust features and insights.</li><li>Design, develop, train, and implement mathematical models, algorithms, and machine learning solutions to solve complex business problems.</li><li>Apply advanced techniques across exploratory analysis, statistical modeling, experimentation, forecasting, segmentation, anomaly detection, causal analysis, and machine learning.</li><li>Integrate analytical and machine learning solutions into products, prototypes, or business processes, ensuring enterprise-grade scalability and robustness.</li><li>Define success metrics, quantify business impact, and translate analytical results into clear, actionable recommendations for decision-makers.</li><li>Lead or manage complex analytical workstreams or projects, including deliverables, milestones, risks, and escalations, as appropriate.</li><li>Communicate insights, trade-offs, and recommendations effectively to cross-functional teams and customer stakeholders, influencing decisions through evidence and expertise.</li><li>Work in an embedded, customer-facing setup, collaborating closely with customer teams to deeply understand their data, applications, and business context co-developing impactful data and AI-driven solutions.</li></ul><p>What you bring:</p><ul><li>Expert-level proficiency in data science and machine learning, with strong command of Python and SQL, and the ability to design, validate, and optimize end-to-end analytical and ML solutions.</li><li>Hands-on expertise with Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and XGBoost.</li><li>Deep applied knowledge of statistics and experimentation, including hypothesis testing, experimental design, causal inference, and uncertainty interpretation.</li><li>Proven experience applying a wide range of ML techniques classification, forecasting, clustering, recommendation systems, anomaly detection balancing accuracy, robustness, interpretability, and usability at scale.</li><li>Strong capability to translate ambiguous business questions into measurable analytical problems and connect model outputs to commercial, operational, or strategic decisions.</li><li>Experience delivering production-ready analytics and ML systems on modern data platforms, with a strong focus on data quality, governance, and reusability.</li><li>Exposure to SAP data landscapes including SAP S/4HANA, SAP BW/4HANA, SAP HANA Cloud, and familiarity with SAP Business Technology Platform (BTP), AI Core, AI Launchpad, and SAP AI services.</li><li>Ability to operate effectively in an Agentic AI context, contributing to the design, application, and responsible use of AI agents within complex business processes.</li><li>Advanced communication and collaboration skills, with the ability to influence senior stakeholders through clear data narratives and executive-ready insights.</li><li>You proactively leverage AI in everyday workflows, ensuring high-quality outputs through thoughtful context design and system integration.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Expert-level proficiency in data science and machine learning, with strong command of Python and SQL, and the ability to design, validate, and optimize end-to-end analytical and ML solutions.</p><p>Hands-on expertise with Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and XGBoost.</p><p>Deep applied knowledge of statistics and experimentation, including hypothesis testing, experimental design, causal inference, and uncertainty interpretation.</p><p>Proven experience applying a wide range of ML techniques classification, forecasting, clustering, recommendation systems, anomaly detection balancing accuracy, robustness, interpretability, and usability at scale.</p><p>Strong capability to translate ambiguous business questions into measurable analytical problems and connect model outputs to commercial, operational, or strategic decisions.</p><p>Experience delivering production-ready analytics and ML systems on modern data platforms, with a strong focus on data quality, governance, and reusability.</p><p>Exposure to SAP data landscapes including SAP S/4HANA, SAP BW/4HANA, SAP HANA Cloud, and familiarity with SAP Business Technology Platform (BTP), AI Core, AI Launchpad, and SAP AI services.</p><p>Ability to operate effectively in an Agentic AI context, contributing to the design, application, and responsible use of AI agents within complex business processes.</p><p>Advanced communication and collaboration skills, with the ability to influence senior stakeholders through clear data narratives and executive-ready insights.</p><p>You proactively leverage AI in everyday workflows, ensuring high-quality outputs through thoughtful context design and system integration.</p>

<p>Position Overview We are seeking a technically strong and solution-oriented Lead Applied AI Engineer to support the design and implementation of advanced AI and analytics solutions. This role is ideal for someone with 6+ years of experience in data science and applied machine learning who enjoys combining technical depth with real-world problem-solving. You will work closely with internal technical teams and external clients to translate business needs into scalable AI solutions. You ll also guide junior team members, contribute to hands-on model development, and ensure seamless delivery of analytical components into production environments.</p><p>Key Responsibilities</p><p>Agentic AI, LLMs &amp; Modern AI Systems</p><ul><li>Architect and implement production-grade agentic AI systems using LLM orchestration frameworks and protocols (e.g., LangChain, LangGraph, Langfuse, MCP).</li><li>Design and deploy Retrieval-Augmented Generation (RAG) pipelines including chunking strategies, vector store selection, hybrid retrieval, and evaluation.</li><li>Build multi-agent systems with tool use, memory, planning, and inter-agent coordination for enterprise automation and decision-support.</li><li>Evaluate and integrate frontier LLMs (OpenAI, Anthropic, Mistral, open-source) into secure, scalable production architectures, on cloud and on-prem.</li><li>Stay at the forefront of emerging agentic AI research and translate findings into practical product capabilities.</li></ul><p>Classical ML, Data Science &amp; Analytics</p><ul><li>Design and implement end-to-end ML pipelines: data ingestion, feature engineering, model training, hyper parameter tuning, validation, and deployment.</li><li>Apply classical ML techniques across regression, classification, clustering, time-series forecasting, anomaly detection, and optimization.</li><li>Deliver rigorous data analysis and statistical modeling to generate actionable insights for clients.</li><li>Ensure models are production-ready: robust, interpretable, monitored, and aligned with business KPIs.</li></ul><p>Technical Leadership &amp; Mentorship</p><ul><li>Lead, mentor, and coach junior data and AI scientists guiding their technical growth, reviewing their code, and building their problem-solving capabilities.</li><li>Define and enforce technical standards, best practices, and review processes across the data science team.</li><li>Drive knowledge-sharing through internal presentations, documentation, and technical sessions.</li></ul><p>Client-Facing Analytics Solutioning</p><ul><li>Collaborate with client engagement and technical teams to understand business requirements and translate them into actionable AI/analytics solutions.</li><li>Provide strategic input on solution design, aligning analytical capabilities with client objectives.</li><li>Serve as a technical lead in solution delivery discussions and workshops with clients.</li></ul><p>Integration, Deployment &amp; MLOps</p><ul><li>Collaborate with engineering teams to ensure seamless deployment of models into production via APIs, containerization (Docker/Kubernetes), and CI/CD pipelines.</li><li>Implement model monitoring, drift detection, and retraining workflows to maintain solution performance post-deployment.</li><li>Champion clean, maintainable, well-documented code practices across the team.</li></ul><p>Technical Stack</p><ul><li>Languages &amp; Libraries: Python (primary), SQL, NumPy, pandas, scikit-learn, XGBoost, LightGBM</li><li>Agentic &amp; LLM Frameworks: LangChain, LangGraph, Model Context Protocol (MCP), OpenAI API, Anthropic API</li><li>RAG &amp; Vector Stores: FAISS, Pinecone; embedding models and evaluation frameworks</li><li>Deep Learning: PyTorch, TensorFlow/Keras, Hugging Face Transformers</li><li>Cloud: one or more of: AWS, GCP, Azure</li><li>Databases: PostgreSQL, Oracle; vector databases</li><li>MLOps: Docker, MLflow, CI/CD pipelines</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</li><li>6-8+ years of hands-on experience in data science, applied machine learning, and AI engineering.</li><li>Demonstrable production experience with LLMs, RAG pipelines, and agentic AI systems.</li><li>Strong classical ML and statistical modeling expertise across multiple problem types and domains.</li><li>Demonstrated ability to lead technical work and mentor junior team members.</li><li>Ability to balance technical depth with practical delivery and business impact.</li><li>Excellent collaboration and communication skills to work across teams and with clients.</li><li>Fluency in English (written and spoken).</li><li>Arabic</li><li>Nice to Have: Experience delivering AI solutions across multiple industry sectors (e.g., government, energy, finance, healthcare, or retail).</li><li>Client-facing or consulting experience working directly with external stakeholders on solution design and delivery.</li><li>Experience with on-premise LLM deployment and air-gapped AI environments.</li><li>Familiarity with Arabic NLP and multilingual models.</li><li>Background in decision intelligence, operations research, or simulation modeling.</li><li>Publications, open-source contributions, or public technical presence.</li></ul>

<p><b>Job Responsibilities:</b></p><p><br></p><p>&nbsp;Implementation and support for Imperva DAM, Imperva DSF/Sonar, DRA and other Data Security Solutions Assist customer with configuration of Database auditing in on-premise or cloud based databases (AWS RDS/ AzureSQL etc) Policy configuration on DAM for monitoring Configuration of DAM reports and alerts based on customer s use case requirements Installation and configuration of DAM agents on Database servers Onboarding of Cloud databases (AWS, GCP, Azure) on database audit monitoring Utilize tools (e.g., Wireshark, Nmap, PCap, etc.) to identify and map devices on the network.</p><p><strong>Desired Candidate Profile</strong></p><p>Qualifications and Skillsets: 5+ yrs experience in implementation and support for Imperva DAM / Imperva Sonar / IBM Guardium or other Database Security solutions Knowledge of Database security and auditing (On premise and cloud based databases) Knowledge of common public cloud setups (AWS/ Azure/ GCP/ OCP) is mandatory Knowledge of Linux OS is mandatory Possession of Industry Certifications (such as Security+, SSCP. GCIA, CISSP, CEH, ECSA). Knowledge of NIST 800-53, ISO27001, and CIS Top 20 Controls Knowledge of scripting/automation Python, REST/GRAPH API, Bash, Terraform Ability to communicate clearly and effectively with internal groups (Professional Services, Engineering) as well as with customers. Strong communication skills, Self-starter and able to work independently, while also able to share responsibilities, ideas and other information. Qualifications and Skillsets: 5+ yrs experience in implementation and support for Imperva DAM / Imperva Sonar / IBM Guardium or other Database Security solutions Knowledge of Database security and auditing (On premise and cloud based databases) Knowledge of common public cloud setups (AWS/ Azure/ GCP/ OCP) is mandatory Knowledge of Linux OS is mandatory Possession of Industry Certifications (such as Security+, SSCP. GCIA, CISSP, CEH, ECSA). Knowledge of NIST 800-53, ISO27001, and CIS Top 20 Controls Knowledge of scripting/automation Python, REST/GRAPH API, Bash, Terraform Ability to communicate clearly and effectively with internal groups (Professional Services, Engineering) as well as with customers. Strong communication skills, Self-starter and able to work independently, while also able to share responsibilities, ideas and other information.</p>

<p>We are seeking Cloud Engineer to support a remote engagement for a client in Saudi Arabia. . The ideal candidate is a hands-on, operations-focused engineer comfortable owning infrastructure reliability and automation across a hybrid, multi-cloud environment. Key Responsibilities Manage and operate Kubernetes clusters (deployment, scaling, monitoring, troubleshooting) in production environments Build and maintain CI/CD pipelines and DevOps automation workflows to support development and release cycles Implement Infrastructure as Code (IaC) practices (e.g., Terraform) for provisioning and configuration management across cloud environments Manage device and endpoint policies through Microsoft Intune , including compliance policies, configuration profiles, and application deployment Monitor infrastructure health, performance, and security across cloud and endpoint layers; respond to incidents and perform root cause analysis Support cloud cost optimization, resource governance, and tagging/organization standards across GCP and AWS Collaborate with the client's internal IT, security, and DevOps teams to align infrastructure operations with broader organizational policies Maintain documentation for infrastructure architecture, runbooks, and operational procedures Participate in on-call/operational support rotations as required by the client (clarify with client if applicable) Strong DevOps background: CI/CD tooling (e.g., Jenkins, GitLab CI, GitHub Actions), scripting/automation (Python, Bash) Proven hands-on experience managing Kubernetes in production (deployments, Helm, scaling, troubleshooting) Practical experience with Infrastructure as Code (Terraform strongly preferred) Hands-on experience with Microsoft Intune for endpoint/device management and compliance Solid understanding of cloud networking, IAM, and security fundamentals across GCP and AWS Experience with monitoring/observability tooling (e.g., Prometheus, Grafana, CloudWatch, Stackdriver) Strong troubleshooting skills across infrastructure, application, and network layers Ability to work independently in a remote capacity with clear, proactive communication</p><p><strong>Desired Candidate Profile</strong></p><p>Strong DevOps background: CI/CD tooling (e.g., Jenkins, GitLab CI, GitHub Actions), scripting/automation (Python, Bash) Proven hands-on experience managing Kubernetes in production (deployments, Helm, scaling, troubleshooting) Practical experience with Infrastructure as Code (Terraform strongly preferred) Hands-on experience with Microsoft Intune for endpoint/device management and compliance Solid understanding of cloud networking, IAM, and security fundamentals across GCP and AWS Experience with monitoring/observability tooling (e.g., Prometheus, Grafana, CloudWatch, Stackdriver) Strong troubleshooting skills across infrastructure, application, and network layers Ability to work independently in a remote capacity with clear, proactive communication</p>

<p>Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 17 million users choose Tabby to stay in control of their spending and make the most out of their money. The company s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $10 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $4.5 billion.</p><p>We are hiring a Data Engineer to join our DWH Team, who will help us create our corporate DWH using cloud technologies and best practices for data processing and storage.</p><ul><li>DWH development for Business Users, Analysts and ML Engineers;</li><li>Data synchronization between internal and external systems;</li><li>Development tools for collecting data into DWH;</li><li>Development EL / ELT / ETL pipelines;</li><li>Integration new tools and practices for data governance and data quality;</li><li>Costs optimization.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>3+ years of experience as a Data Engineer;</li><li>DWH development and maintenance experience;</li><li>Architecture: Kimball, Inmon, Medallion, Data Mesh;</li><li>Data modeling: SCD forms, Normal forms, Star Schema, Data Vault;</li><li>Python + best practice for Python;</li><li>SQL + best practice for SQL;</li><li>System design best practices;</li><li>Familiar with tech stack as Airflow, dbt, BigQuery, Clickhouse, PostgreSQL, Docker, GitLab(CI/CD), GCP;</li><li>Best practice for data processing and data storing.</li><li>Bonus skills REST API / GRPC API / Message brokers &amp; Queues;</li><li>Experience on modern systems of data storing: Relational, MPP, NoSQL;</li><li>Experience on Google Cloud Platform.</li></ul>

<p>We are looking for a Senior Data and infrastructure Enginee to join our Data Team and help transform our company into a truly data-driven organization. In this role, you will design and build scalable data solutions that empower business teams with reliable, high-quality data and actionable insights. If you enjoy solving complex data challenges, building robust platforms, and working in an international and collaborative environment, we'd love to hear from you. Responsibilties: Design, develop, deploy and maintain scalable and open source data solutions that support our rapidly growing international business. Build and evolve our data Architecture to enable advanced analytics, reporting, and data-driven decision-making across the organization. Develop and optimize CDC / ETL/ELT pipelines for batch and near real-time data processing. Support analytical and machine learning workflows by providing reliable and well-structured datasets. Integrate data from a wide range of sources, including transactional databases, third-party platforms, and external APIs (e.g., PostgreSQL, MySQL, Google Analytics, BigQuery, Google Ads, Adjust, and others). Collaborate closely with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance standards. Monitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability using managed and open source solutions. Evaluate and recommend new technologies (Open source/ Managed), tools, and architectural approaches to enhance our data ecosystem. Contribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organization.</p><p><strong>Desired Candidate Profile</strong></p><p>4+ years of professional experience in Data Engineering, Data Warehousing, Data Ops or a related field. Good hands on experience in one of the major clouds . AWS preferred, Expert Hands on experience required on linux tools Should be able to deploy applications using docker on bare metal servers. Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline. Strong expertise in SQL PSQL and relational database concepts, including data modeling and query optimization. Experience designing and maintaining data warehouse architectures. Hands-on experience with columnar databases and performance optimization techniques. Experience working with workflow orchestration and distributed job scheduling tools, preferably Apache Airflow. Solid programming skills in Python or Java, with a preference for Python. Good understanding of Linux environments and scripting (Bash). Experience with modern cloud-based data platforms and analytical databases such as ClickHouse, StarRocks, or similar technologies. Have experience working s3 compatible open source solution and managed solutions. Familiarity with data integration, CDC/ETL/ELT frameworks, and large-scale data processing. Strong communication skills in English.</p>

<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>

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