Senior Machine Learning Engineer - Bangalore

Senior/Staff Machine Learning Engineer

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

As a Senior/Staff Machine Learning Engineer, you'll be a technical leader helping architect, scale, and harden SAP's next generation of generative AI services. You'll drive both design and implementation of ML pipelines, orchestrators, and agentic workflows—turning foundational model research into secure, production-ready enterprise solutions.

Responsibilities:

• Architect and optimize ML-driven workflows for multi-agent orchestration (LangGraph) across DRP, Experience Builder, and Visual Services.
• Lead technical design discussions, mentor junior engineers, and set engineering standards for reliability and scale.
• Evaluate, fine-tune, and integrate foundation models (text, multimodal, diffusion) through SAP's GenAI Hub and third-party providers (e.g., Amazon Bedrock).
• Design evaluation frameworks and dashboards for quality, safety, and enterprise trust in generative outputs.
• Partner with product teams to define roadmaps and deliver features that serve Sales, Marketing, Finance, HR, and beyond.
• Collaborate with cross-functional SAP AI teams on shared infrastructure, governance, and interoperability.
• Stay at the forefront of ML/AI trends and bring best practices into the team's architecture and execution.

Qualifications:

• 6+ years of professional experience in machine learning engineering, software engineering, or applied research roles.
• Deep proficiency in Python and familiarity with Go/TypeScript; experience with distributed systems and orchestration frameworks.
• Strong background in ML/AI, including large language models, embeddings, RAG, and/or multimodal generation.
• Hands-on experience with cloud-native infrastructure (Kubernetes, AWS/Azure) and modern data stores (Postgres, Cassandra, vector DBs).
• Proven track record of delivering production AI systems at scale.
• Strong problem-solving skills and ability to balance innovation with enterprise-grade reliability.
• Experience mentoring engineers and shaping engineering culture.

The Experience Generation team at SAP accelerates the path from idea to outcome with three generative-AI services: Deep Research & Planning (strategic plans from enterprise + market data), Experience Builder (AI-forged dashboards and micro-apps), and Visual Services (commerce imagery via diffusion). Together they deliver business value across all SAP lines of business, grounded in governed enterprise data and brand standards. Our platform blends a React/Next.js frontend, a Python + FastAPI backend orchestrating LangGraph sub-agents, and a Gardener-managed Kubernetes runtime. With Postgres, Cassandra, HANA Cloud vector engines, and SAP's Generative AI Hub for model governance, we provide an enterprise-grade substrate for controllable, scalable AI workflows At SAP, senior engineers have the chance to define architecture and strategy for some of the world's most impactful enterprise AI services. You'll shape how businesses plan, build, and visualize with AI—while working with a collaborative team, trusted cloud platforms, and the latest foundation models. Your leadership will ensure SAP's AI innovations scale securely, reliably, and responsibly.

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.

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 and more equitable world. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide 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, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Successful candidates might be required to undergo a background verification with an external vendor.