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Master Works

<div>
 
 Business Unit:
 
 Master works
 
 
 
 Function:
 
 Consultation
 
 
 
 Level
 
 : Mid-level
 
 
 
 Job location:
 
 Client site
 
 
 
 Job Description:
 
 
 
 The charge of creating and developing intelligent solutions using Artificial Intelligence technologies with a focus on generative AI and data science.
 
 
 The role entails converting data into useful insights and developing AI powered applications that improve decision making and enhance operational efficiency.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, train, and optimize machine learning models for real applications or use cases
 </li>
 <li>
 Translate business and product requirements into scalable ML/AI solutions
 </li>
 <li>
 Implement feature engineering, model selection, tuning, and evaluation techniques
 </li>
 <li>
 Develop, and deploy ML models into production environments with high availability and performance
 </li>
 <li>
 Build and maintain ML pipelines (training, validation, deployment, monitoring)
 </li>
 <li>
 Monitor model performance, data drift, and model decay; retrain models as needed
 </li>
 <li>
 Ensure models meet reliability, scalability, and security standards
 </li>
 <li>
 Work closely with Data Scientists, Product Managers, and Software Engineers
 </li>
 <li>
 Collaborate with data engineering teams to ensure high-quality, reliable data pipelines
 </li>
 <li>
 Participate in design and code reviews, ensuring engineering best practices
 </li>
 <li>
 Optimize models for latency, throughput, and cost
 </li>
 <li>
 Implement experimentation frameworks (A/B testing, offline evaluation)
 </li>
 <li>
 Apply responsible AI principles, including fairness, explainability, and governance where required
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements &amp; Qualifications
 
 :
 
 
 <ul>
 <li>
 +4 years of hands-on experience in Machine Learning or applied AI roles
 </li>
 <li>
 Strong programming skills in Python (and/or Java, Scala)
 </li>
 <li>
 Solid understanding of ML algorithms (supervised, unsupervised, deep learning)
 </li>
 <li>
 Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn
 </li>
 <li>
 Experience deploying models using Docker, Kubernetes, or cloud ML services
 </li>
 <li>
 Strong knowledge of data structures, algorithms, and software engineering principles
 </li>
 <li>
 Experience working in agile, cross-functional teams
 </li>
 <li>
 Experience with cloud platforms (AWS, Azure, or GCP) and managed ML services
 </li>
 <li>
 Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, Azure ML)
 </li>
 <li>
 Experience with big data technologies (Spark, Kafka, Databricks)
 </li>
 <li>
 Background in NLP, Computer Vision, or Generative AI
 </li>
 <li>
 Strong problem-solving and analytical thinking
 </li>
 <li>
 Production-first mindset
 </li>
 <li>
 Data-driven decision making
 </li>
 <li>
 High Collaboration and communication skills
 
 
 </li>
 </ul>
 
 Tools &amp; Technologies:
 
 
 
 <ul>
 <li>
 Dataiku
 </li>
 <li>
 SQL server
 </li>
 <li>
 Power bi,
 </li>
 <li>
 Aws bedrock
 </li>
 </ul>
</div>

AI, Developer

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div> 
What you&rsquo;ll build: 
This role is for a developer who builds AI solutions that reach production and operate reliably in enterprise environments. You will work with AI architects and data engineers within a growing AI practice. You will design and implement AI applications, agent-based workflows, and integrations across SAP landscapes, working from solution design through to deployment. 
What you bring: 
<ul><li>
3&ndash;5 years in software engineering, AI development, or equivalent experience delivering AI or data-driven solutions used in real environments.</li><li>
Experience building AI applications such as LLM-based solutions, RAG pipelines, or intelligent automation workflows. Familiarity with AI frameworks such as LangChain, LlamaIndex, or similar tools.</li><li>
Experience developing applications using languages commonly used in AI development. Python experience is strongly recommended. Experience with APIs, microservices, and containerisation is beneficial.</li><li>
Exposure to SAP BTP or similar enterprise cloud platforms is beneficial and will be developed on the job. /
Deep SAP platform knowledge is valuable but not the gating factor.</li></ul> 
What Success Looks Like<ul><li><div><ul><li>
AI applications operate reliably in production environments.</li><li>
Agent-based workflows support real business processes.</li><li>
Code and components are reusable across projects.</li><li>
Architecture transitions smoothly into implementation.</li><li>
Customers actively use the AI capabilities delivered.</li></ul></div></li></ul> 
Where you belong: 
AI Application Development (core focus):<ul><li><div><ul><li>
Build and deploy production-grade AI applications.</li><li>
Activate SAP Business AI capabilities and extend them with custom AI solutions where needed.</li><li>
Implement ML, GenAI, and RAG workflows for enterprise use cases.</li><li>
Containerise and deploy AI services using Docker or similar technologies.</li><li>
Build reusable AI components and accelerators.</li></ul></div></li></ul>
Agent-Based AI Development:<ul><li><div><ul><li>
Design and implement agent-based AI workflows.</li><li>
Implement orchestration patterns for multi-step or multi-agent scenarios, including MCP where relevant.</li><li>
Apply prompt engineering techniques to improve reliability and performance of LLM-based solutions.</li><li>
Evaluate and integrate open-source and proprietary LLMs.</li></ul></div></li></ul>
SAP Platform Integration:<ul><li><div><ul><li>
Integrate AI services with SAP BTP and SAP applications.</li><li>
Connect AI solutions with enterprise data platforms and cloud environments where required.</li></ul></div></li></ul>
Engineering and Model Lifecycle:<ul><li><div><ul><li>
Implement pipelines supporting testing, deployment, and operation of AI services.</li><li>
Contribute to monitoring, versioning, and lifecycle management of AI solutions.</li><li>
Maintain clean, maintainable code and documentation.</li></ul></div></li></ul><div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 448415 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 90% | Career Status: Professional | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid</div>

AI Developer (One-Year Fixed Term contract)

Sadat Consulting

Sen your CV across mohammed.sadatgac@gmail.com with below details1. Notice period 2. Current salary 3. Expected salary 4. Do you have Transferable IQAMARole Purpose Develop AI-enabled automation aligned with roadmap including automation workflows, AIassisted reporting, anomaly detection, and enterprise AI integration patterns.Key Responsibilities<ul><li>Develop automation pipelines and workflow automations</li><li>Integrate enterprise AI services (LLM APIs, automation endpoints)</li><li>Develop anomaly detection logic and operational intelligence rules</li><li>Build AI-assisted reporting components aligned with dashboards</li><li>Maintain AI/automation documentation and reproducibility</li><li>Ensure governance-aligned AI implementation (approval where required)</li><li>Support integration of AI outputs into enterprise apps (Frappe, dashboards)</li></ul>Mandatory Technical Requirements<ul><li>Python (ML/automation stack)</li><li>Experience integrating enterprise AI APIs</li><li>Familiarity with RAG architecture concepts</li><li>Automation frameworks and scripting (job scheduling, pipelines)</li><li>Strong integration skills (API-based orchestration)</li></ul>Minimum Experience<ul><li>8+ years experience</li><li>Proven delivery of AI/automation in enterprise environments</li></ul>Job Types: Full-time, PermanentWork Location: In person

AI Automation (LLMs, RAG) Engineer

TAWANTECH

<div>Job Summary
We are seeking an AI Software Engineer with hands-on experience in Large Language Models (LLMs) and Generative AI technologies to develop intelligent solutions that enhance customer experience, operational efficiency, and knowledge management within the banking sector.
Key Responsibilities<ul><li>Design, develop, and deploy AI-powered applications leveraging LLMs and Generative AI.</li><li>Build Retrieval-Augmented Generation (RAG) solutions using enterprise banking data.</li><li>Develop intelligent assistants, chatbots, and knowledge management solutions.</li><li>Integrate AI services with banking applications and APIs.</li><li>Fine-tune, evaluate, and optimize LLM performance.</li><li>Ensure compliance with banking security, governance, and regulatory requirements.</li><li>Collaborate with business, data, and technology teams to deliver AI-driven solutions.</li></ul> 
Requirements<ul><li> 
4+ years of software engineering experience.</li><li>Strong Python programming skills.</li><li>Experience with LLMs, Generative AI, and Prompt Engineering.</li><li>Experience with LangChain, LlamaIndex, Vector Databases, and RAG architectures.</li><li>Familiarity with machine learning frameworks and AI deployment practices.</li><li>Experience with cloud platforms (AWS, Azure, GCP) is preferred.</li></ul>
Preferred Qualifications<ul><li>Banking or Financial Services experience.</li><li>Experience developing AI copilots or customer-facing AI solutions.</li><li>Knowledge of AI governance and responsible AI practices.</li></ul></div>

AI Software Engineer / LLM Engineer

Idaratech

We are looking for a Senior React Native Developer to develop and scale our enterprise-grade mobile applications that power a large ERP ecosystem. You will play a key role in modernizing legacy mobile codebases, building reusable components aligned with design systems, and delivering features safely using feature flags. This role suits someone who values clean architecture, performance, and uses AI tools wisely to move faster without compromising quality.<h3>&nbsp;Key Responsibilities</h3><ul><li>Design, build, and maintain high-performance React Native applications for iOS and Android.</li><li>Refactor and modernize legacy React Native or hybrid mobile codebases.</li><li>Implement reusable UI components using design systems (custom, NativeBase, Tamagui, or similar).</li><li>Collaborate closely with backend, product, and design teams to deliver ERP mobile modules.</li><li>Implement feature flags to enable controlled rollouts and A/B testing.</li><li>Work within a monorepo architecture (Nx, Turborepo, or similar).</li><li>Optimize app performance, startup time, and memory usage.</li><li>Ensure app quality through testing, monitoring, and production readiness.</li><li>Use AI-assisted development tools (e.g., Copilot, ChatGPT) to enhance productivity and code quality.</li></ul><h3>&nbsp;Requirements</h3><ul><li>4+ years of professional experience with React Native.</li><li>Strong knowledge of JavaScript / TypeScript and modern React patterns (Hooks, Context, State Management).</li><li>Experience upgrading or maintaining legacy React Native applications.</li><li>Familiarity with design systems and scalable component architectures.</li><li>Experience with feature flagging systems (e.g., LaunchDarkly, Firebase Remote Config, ConfigCat).</li><li>Solid understanding of mobile app performance, debugging, and platform differences (iOS / Android).</li><li>Experience with monorepo setups and modular application structures.</li><li>Proficient with Git and modern CI/CD workflows.</li><li>Comfortable leveraging AI tools for code assistance, testing, and documentation.</li></ul><h3>&nbsp;Nice to Have</h3><ul><li>Experience with Expo (managed or bare workflow).</li><li>Knowledge of native modules (Swift / Kotlin) or bridging.</li><li>Experience with mobile analytics and crash reporting tools.</li><li>Familiarity with automated testing (Jest, Detox, Maestro).</li></ul>

Senior React Native Developer

We are looking for a Senior Angular Developer to join our team and take a leading role in shaping the front-end of a large-scale, enterprise-grade ERP system. You'll work on modernizing legacy code, driving UI/UX excellence using Tailwind CSS, Angular Material, and design systems, and collaborating in a monorepo environment. If you're passionate about writing clean, maintainable code, and using AI tools to boost productivity, this role is for you.<h3>&nbsp;Key Responsibilities</h3><ul><li>Lead the front-end development of ERP modules using Angular 15+.</li><li>Refactor and upgrade legacy code to modern Angular standards.</li><li>Implement and maintain UI components using Tailwind CSS, Angular Material, or custom design systems.</li><li>Collaborate with cross-functional teams to deliver features behind feature flags to enable progressive rollouts.</li><li>Work in a monorepo setup (Nx or similar) to maintain scalable, modular codebases.</li><li>Integrate with RESTful APIs and GraphQL where applicable.</li><li>Optimize performance and ensure high accessibility and responsiveness across devices.</li><li>Proactively identify areas for improvement and leverage AI-assisted tools for testing, code generation, and documentation.</li></ul><h3>&nbsp;Requirements</h3><ul><li>4+ years of experience with Angular (Angular 10+ required; 15+ preferred).</li><li>Proven experience in migrating or upgrading legacy Angular or JavaScript projects.</li><li>Strong skills in TypeScript, RxJS, and component-based architecture.</li><li>Hands-on experience with Tailwind CSS, Angular Material, or other enterprise-level design systems.</li><li>Familiarity with feature flags implementation (e.g., LaunchDarkly, ConfigCat).</li><li>Experience in Git workflows, monorepos, and modular development.</li><li>Comfortable using tools like ChatGPT, Copilot, or similar AI platforms to streamline development tasks.</li><li>Strong understanding of web performance, accessibility, and testing (Jasmine, Karma, Cypress, etc.).</li></ul><h3>&nbsp;Nice to Have</h3><ul><li>Experience with Nx or similar monorepo tools.</li><li>Contributions to open source or internal design systems.</li><li>Familiarity with CI/CD pipelines and Docker.</li></ul>

Senior Angular Developer

King Abdullah University of Science and Technology

<div></div><div>Date: May 19, 2026
Location: Saudi Arabia
Company: King Abdullah University of Science &amp; Technology
<div>Position Summary

The AI/ML Support Automation Analyst will be a key member of the KSL AI Support Team, focusing on MLOps

infrastructure, container orchestration, and workflow automation at a supercomputing scale. Working under the

AI/ML Support Team Lead, this role is responsible for developing and maintaining secure, OCI-compliant container

images, robust CI/CD pipelines, and cloud-native MLOps workflows that enable researchers to efficiently deploy and

manage AI/ML workloads. The Analyst will bridge the gap between cutting-edge Kubernetes-based infrastructure

and the diverse needs of the research community, contributing to governance, technical enablement, and

community development initiatives. 


Major Responsibilities

1 MLOps and Container Development
<ul><li>Providing timely and useful user support via telephone, walk-in, email, and ticketing system submissions</li></ul>

for all types of inquiries.
<ul><li>Maintain high customer service standards in dealing with and responding to user issues and questions.</li></ul>
<ul><li>Develop and maintain secure, OCI-compliant, and HPC-ready AI/ML and data science software container</li></ul>

images
<ul><li>Design and implement robust MLOps workflows and pipelines at supercomputing scale</li></ul>
<ul><li>Develop and maintain CI/CD pipelines for reproducible infrastructure and workflow deployment</li></ul>
<ul><li>Design and deploy APIs for AI/ML services and inference endpoints</li></ul>
<ul><li>Implement and manage Kubernetes-based orchestration, including CNI, CSI, and service mesh</li></ul>

configurations and optimization
<ul><li>Deploy and maintain container registries (Harbor) and model registries (MLFlow, Kubeflow Model</li></ul>

Registry)

2 Governance and Compliance Support
<ul><li>Assist in computational readiness reviews for AI research projects</li></ul>
<ul><li>Assist in AI model and artifact control reviews to ensure compliance with institutional standards</li></ul>
<ul><li>Provide consultation to users on efficient resource usage for AI/ML and MLOps workflows</li></ul>
<ul><li>Ensure container images and workflows comply with security policies and best practices</li></ul>
<ul><li>Support the implementation of usage monitoring and reporting systems</li></ul>

3 Performance and Benchmarking
<ul><li>Perform performance debugging and tuning of MLOps and cloud-native workflows</li></ul>
<ul><li>Develop and maintain AI/ML and MLOps workload benchmarks for procuring new systems</li></ul>
<ul><li>Create and maintain regression testing workloads for existing clusters</li></ul>
<ul><li>Deploy and maintain observability and resource monitoring stacks using Prometheus, Grafana, NVIDIA</li></ul>

DCGM, and Grafana Loki
<ul><li>Contribute to technology evaluation and benchmarking exercises for future infrastructure investments</li></ul>

4 Training and Documentation
<ul><li>Create comprehensive training content for users on MLOps platforms, Kubernetes, and containerization</li></ul>
<ul><li>Develop and maintain high-quality user documentation for automation tools and workflows</li></ul>
<ul><li>Support the delivery of workshops on CI/CD, container orchestration, and MLOps best practices</li></ul>
<ul><li>Contribute to knowledge transfer initiatives within the KAUST research community</li></ul>
<ul><li>Provide one-on-one consultation to researchers on efficient use of automation infrastructure</li></ul> 


Personal Requirements

Competencies
<ul><li>Experience</li></ul>
<ul><li>Demonstrated experience developing robust and complex MLOps pipelines</li></ul>
<ul><li>Hands-on experience with API design and deployment</li></ul>
<ul><li>Experience developing robust and portable CI/CD pipelines for reproducible infrastructure and workflow</li></ul>

deployment
<ul><li>Experience supporting researchers or working in academic/research computing settings preferred</li></ul>
<ul><li>Technical Skills - Essential</li></ul>
<ul><li>Kubernetes: Strong expertise in Kubernetes, Container Network Interface (CNI), Container Storage</li></ul>

Interface (CSI), and Service Mesh
<ul><li>MLOps: Experience developing and maintaining MLOps pipelines and workflows</li></ul>
<ul><li>CI/CD: Proficiency in building CI/CD pipelines for infrastructure and application deployment</li></ul>
<ul><li>Containerization: Experience building secure, OCI-compliant container images</li></ul>
<ul><li>API Development: Experience in API design, development, and deployment</li></ul>
<ul><li>Programming: Proficiency in Python; experience with Go, Bash scripting</li></ul>
<ul><li>Linux: Strong Linux/Unix systems administration skills</li></ul>
<ul><li>Technical Skills - Desired</li></ul>
<ul><li>Experience with ArgoCD, Airflow, DASK, Spark for workflow orchestration</li></ul>
<ul><li>Experience with Kubeflow, KServe, and Seldon for ML serving and pipelines</li></ul>
<ul><li>Experience deploying and maintaining observability stacks (Prometheus, Grafana, NVIDIA DCGM, Grafana</li></ul>

Loki)
<ul><li>Knowledge of Model Context Protocol (MCP) and agentic frameworks</li></ul>
<ul><li>Experience deploying inference services at scale</li></ul>
<ul><li>Experience deploying and maintaining container registries (Harbor) and model registries (MLFlow,</li></ul>

Kubeflow Model Registry, Artifact Hub)
<ul><li>Experience with GitOps practices and Infrastructure as Code (Terraform, Ansible)</li></ul>
<ul><li>Experience with HPC schedulers (SLURM) and HPC-cloud integration</li></ul>
<ul><li>Soft Skills</li></ul>
<ul><li>Strong problem-solving and analytical abilities</li></ul>
<ul><li>Excellent written and verbal communication skills in English</li></ul>
<ul><li>Customer service mindset with patience for supporting diverse skill levels</li></ul>
<ul><li>Ability to work independently and as part of a collaborative team</li></ul>
<ul><li>Strong documentation and knowledge-sharing practices</li></ul>
<ul><li>Cultural sensitivity for working in an international environment</li></ul> 


Preferred Qualifications
<ul><li>Experience in national laboratories or major research computing facilities</li></ul>
<ul><li>Experience with GPU scheduling and resource management in Kubernetes</li></ul>
<ul><li>Background in DevOps or Site Reliability Engineering (SRE)</li></ul>
<ul><li>Contributions to open-source cloud-native or MLOps projects</li></ul>
<ul><li>Publications or presentations on MLOps, Kubernetes, or automation topics</li></ul>
<ul><li>Knowledge of Saudi Arabia's Vision 2030 and national AI initiatives</li></ul>
<ul><li>Additional certifications: AWS/Azure/GCP, Terraform, NVIDIA DLI</li></ul> 


Qualifications
<ul><li>Bachelor's or master&rsquo;s degree in computer science, Data Science, Computational Science, Artificial</li></ul>

Intelligence, or a related field
<ul><li>Certifications such as CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application</li></ul>

Developer), CKS (Certified Kubernetes Security Specialist), or CNPE (Certified Cloud Native Platform

Engineer) are highly valued 


Experience
<ul><li>Minimum of 2 years of relevant experience</li></ul></div></div><div></div>

AI/ML Support Automation Analyst

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