Senior Machine Learning Engineer

We help the world run better
At SAP we keep it simple: you bring your best to us and well bring out the best in you. Were builders touching over 20 industries and 80% of global commerce and we need your unique talents to help shape whats next. The work is challenging but it matters. Youll find a place where you can be yourself prioritize your wellbeing and truly belong. Whats in it for you Constant learning skill growth great benefits and a team that wants you to grow and succeed.

What youll build

In this role youll lead the design and delivery of production-grade ML and generative AI systems that solve complex product and business problems at scale. Youll own architecture and implementation across data pipelines feature stores training workflows model-serving infrastructure online experimentation and observability.

Youll drive advanced use cases across deep learning NLP ranking recommendation forecasting semantic retrieval and LLM applications including RAG tool use evaluation harnesses and safety controls. Your work will directly shape performance reliability latency and cost efficiency in live environments. Youll guide technical direction on topics such as model selection distributed training and inference GPU utilization model compression prompt and retrieval optimization drift detection retraining strategy and responsible AI controls. Youll mentor other engineers and turn best practices into reusable patterns and platform capabilities.

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

About You

• You bring 7-9 years of experience in software engineering and machine learning with a track record of leading and delivering complex production-scale AI systems
• You combine strong product judgment with technical depth translating ambiguous business problems into scalable high-impact AI solutions
• You thrive in complex fast-moving environments and bring clarity ownership and strategic thinking to drive long-term platform success

Where you belong:

You will be part of a growing team of AI and industry experts dedicated to serving customers across theKingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative highimpact environment that brings together deep AI expertise strong industry knowledge and regional understanding to help customers innovate transform and lead in their markets.

This team thrives on working together to turn complex business challenges into practical scalable solutions. You will find an environment that values curiosity ownership and continuous learning where new ideas are encouraged and realworld impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customercentric motivated by meaningful outcomes and comfortable navigating ambiguity in a fastevolving AI landscape.

About the team

We are a team of engineers passionate about building valuable scalable AI frameworks that drive real business impact. We thrive on solving challenging problems innovating with cutting-edge technologies and collaborating closely to deliver AI systems that are reliable high-performing and ready for production. Our team values ownership technical excellence and creating solutions that stand the test of scale and complexity.

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
SAPs culture of inclusion focus on health and well-being and flexible working models help ensure that everyone regardless of background 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:

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.

AI Usage in the Recruitment Process

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.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 450236 Work Area: Software-Design and Development Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time Additional Locations: #LI-Hybrid