Senior Machine Learning Engineer

Job Title: Senior Machine Learning Engineer Company: SAP Job Category: Machine Learning Roles & Responsibilities: What You’ll Build In this role, you'll lead the design and delivery of production\-grade ML and generative AI systems that solve complex product and business problems at scale. You'll own architecture and implementation across data pipelines, feature stores, training workflows, model\-serving infrastructure, online experimentation, and observability. Where You Belong You will be part of a growing team of AI and industry experts dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets. 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. 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. Requisition ID: 450236 \| Work Area: Software\-Design and Development \| Expected Travel: 0 \- 10% \| Career Status: Professional \| Employment Type: Regular Full Time \| Additional Locations: Work Location: Dubai, Dubai, United Arab Emirates Availability: Full time

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 – 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. What You Bring * You bring expert\-level programming skills in Python, along with strong software engineering expertise in languages such as Java or Go, enabling you to build scalable, production\-grade systems * You have deep knowledge of machine learning, deep learning, and optimization techniques across structured data, NLP, search, ranking, and recommendation problems * You have extensive experience designing and operating end\-to\-end ML systems, from data ingestion and experimentation to deployment, observability, and lifecycle management * You bring strong hands\-on experience with modern ML and LLM tooling (e.g., PyTorch, TensorFlow, scikit\-learn), including fine\-tuning, evaluation, orchestration, and model serving * You have practical experience building generative AI applications using embeddings, vector databases, RAG pipelines, agent workflows, prompt engineering, and guardrails * You bring deep expertise in MLOps and platform engineering, including model registries, feature stores, CI/CD, infrastructure as code, experiment tracking, and automated validation * You have a strong architectural understanding of distributed systems, event\-driven services, streaming data, and cloud\-native ML platforms, with the ability to optimize for performance, scalability, reliability, and cost * You define robust evaluation and governance strategies, including offline benchmarking, online experimentation, hallucination analysis, model risk assessment, and responsible AI practices 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. Please note that any violation of these guidelines may result in disqualification from the hiring process. Key Skills: Machine Learning, Python, TensorFlow, PyTorch, NLP Salary: Not disclosed