Senior Machine Learning Engineer- Bangalore

We help the world run better 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 What you ll do 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 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 what you bring 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 Meet the team 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 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 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 Specific conditions may apply for roles in Vocational Training EOE AA M F Vet Disability 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 Requisition ID 432519 Work Area Software-Design and Development Expected Travel 0 - 10 Career Status Professional Employment Type Regular Full Time Additional Locations LI-Hybrid