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 build and operationalize machine learning and AI capabilities that from idea to production and deliver measurable product value. Youll develop data move pipelines training and inference workflows model-serving services APIs and evaluation frameworks for use cases such as recommendation forecasting anomaly detection classification NLP semantic search and generative AI.

Your work will include feature engineering experiment design model tuning offline and online validation and integration of models into scalable product architectures. Youll help improve LLM-based workflows including prompt design retrieval-augmented generation vector search guardrails and response quality evaluation. Youll also strengthen the engineering backbone around AI through CI/CD monitoring observability testing and model lifecycle automation so solutions are reliable cost-aware secure and ready for enterprise scale.

What you bring:

• You bring strong programming skills in Python along with working knowledge of Java or Go for building production-grade services and APIs
• You have a solid understanding of machine learning fundamentals including supervised and unsupervised methods such as classification regression clustering ranking and recommendation systems
• You have hands-on experience with deep learning frameworks (e.g. PyTorch or TensorFlow) for model training fine-tuning and inference
• You demonstrate strong capabilities in data preparation feature engineering data validation and model evaluation using appropriate offline and online metrics
• You have experience building deploying and integrating ML models into production systems through batch real-time or streaming pipelines
• You are familiar with generative AI concepts including LLMs embeddings vector databases prompt engineering and retrieval-augmented generation and how to apply them in practical use cases
• You bring working knowledge of MLOps and modern data infrastructure including experiment tracking model versioning CI/CD and tools such as Spark Kafka Airflow and feature stores
• You have experience operating ML systems in production including monitoring for drift latency accuracy cost bias and performing debugging and failure analysis to ensure reliability and business impact

About You

• You have 1-3 years of experience in machine learning engineering software engineering or a related field with a track record of deploying models into production
• You are passionate about building reliable scalable ML systems and take ownership of delivering end-to-end solutions
• You balance experimentation with engineering rigor making thoughtful trade-offs to ensure models are both innovative and production-ready
• You are a collaborative problem-solver who thrives in ambiguous environments and is motivated by delivering measurable business impact

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

Required Experience:

IC

Experience: years
Vacancy: 1