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

We are seeking a motivated and curious Machine Learning Engineer to help build intelligent systems that power large-scale AI and large language model (LLM) capabilities. In this role, you will contribute to the design and development of modern infrastructure, collaborate with experienced engineers, and gain hands-on experience bringing ideas from concept to production—driving meaningful impact across SAP's global ecosystem.

As part of our fast-moving team, you'll have the opportunity to work on AI and LLM-based systems at scale. We are looking for someone with strong programming skills, an eagerness to learn distributed systems, and the determination to tackle challenging technical problems. You'll work across a diverse technology stack, collaborate with teammates and product partners, and grow your expertise while contributing to high-impact AI initiatives.

Key Responsibilities

Develop and maintain backend services, APIs, and data pipelines in Go, Java, or Python
Support the optimization of databases, services, and LLM infrastructure
Work with modern technologies such as Kafka, Postgres, Hana, gRPC, and AI/ML frameworks
Collaborate with senior engineers to learn best practices in system design and scalability.
Partner with cross-functional teams to deliver features aligned with business goals

What You Bring

Bachelor's degree in Computer Science, Mathematics, Physics, or related field (or equivalent experience)
4 to 6 years of software engineering experience, ideally with exposure to backend or AI/ML systems
Strong programming skills in at least one language (e.g., Python, Java, or Go)
Familiarity with databases, APIs, or distributed systems concepts
Basic understanding of CI/CD pipelines and modern development practices
Good communication skills and ability to collaborate in diverse teams

Preferred Qualifications

Personal or open-source projects that showcase your technical curiosity with AI/ML or LLM frameworks
Interest in distributed systems and large-scale product development
A problem-solving mindset and eagerness to learn new technologies

Where You Belong

Work on cutting-edge AI and LLM systems used across SAP's global platforms
Learn directly from experienced engineers in a supportive, collaborative environment
Gain exposure to a wide range of modern tools and technologies
Contribute to projects that help shape SAP's AI strategy and product capabilities

Location - SAP Labs Innovation Park, Devanahalli, Bangalore

#DevT2 #sapaiapp

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: [HIDDEN TEXT].

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: 434907 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:

Machine Learning Engineer - Application AI Apps Product Engineering