Senior Machine Learning Engineer - SAP Experience Garage

Job Description

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'LL BUILD:

In your role as Senior Machine Learning Engineer for the SAP Experience Garage, you’ll design, prototype, and scale AI-powered solutions that help SAP teams and customers transform real business challenges into measurable outcomes.

• You’ll be responsible for setting up and leading technical data and AI challenges, collaborating with partners like Databricks, Microsoft, and SAP BTP teams to accelerate innovation.
• Your work will directly impact how AI is adopted and democratized across SAP, empowering teams to move from exploration to production with speed and confidence.
• You’ll co-design and run hackathons and incubation programs, shaping the technical backbone that enables teams to test, validate, and iterate on their ideas.
• You’ll prototype intelligent agents, recommender systems, and data-driven apps, contributing to SAP Experience Garage showcases and innovation stories that inspire adoption company-wide.
• You’ll establish frameworks to track and measure success, connecting AI experiments to tangible business value and customer experience improvements.
• You’ll evaluate and prioritize high-impact AI opportunities, guiding cross-functional teams on feasibility, scalability, and ethical use of AI within SAP’s ecosystem

WHAT YOU BRING:

• 8 - 12 year of relevant experience
• Strong hands-on experience in machine learning, AI engineering, or data science, with proven ability to translate complex concepts into working prototypes.
• Deep familiarity with cloud-based data platforms (e.g., Databricks, Azure, SAP BTP, or similar), and comfort working across distributed data and compute environments.
• Skilled in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn), and modern MLOps or LLMOps practices for scalable experimentation and deployment.
• Experience facilitating hackathons, data challenges, or innovation sprints, combining technical rigor with creativity and collaboration.
• Growth mindset with a curiosity to experiment, learn fast, and help others do the same – balancing innovation speed with data and model integrity.
• Strong communication and storytelling skills to translate technical progress into business impact, fostering trust and excitement among non-technical stakeholders.
• A passion for building together – thriving in multidisciplinary environments where design, engineering, and business strategy intersect

WHERE YOU BELONG:

You’ll join the SAP Experience Garage – a collaborative, hands-on innovation and technology platform, community, and service provider where all SAP employees – from developers to designers, or engineers to strategists turn emerging technology into real impact. We thrive on experimentation, creativity, and teamwork, empowering you to build, learn, and shape SAP’s future with AI and data.

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’s 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: 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.

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: 439572 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid