Chief Machine Learning Expert (Base: Bangalore - Devanahalli)

SAP Labs · Bengaluru · 10+ yrs experience · Posted 2026-03-24

Tech stack: AWS, Docker, Go, Java, Kafka, Kubernetes, PostgreSQL

Apply on the company site · Get a referral for this role

SAP Labs salary & ratings · SAP Labs interview process · More live openings

About the role

Chief Machine Learning Expert
We are seeking a highly skilled and driven
Chief Machine Learning Expert
to design and deliver intelligent, distributed systems that power large-scale AI and large language model (LLM) capabilities. In this role, you will shape cutting-edge infrastructure, mentor world-class engineers, and bring bold ideas from concept to production—driving meaningful impact across SAP’s global ecosystem.
Responsibilities:
- Architect, design, and implement production systems in
- Go, Java
- Demonstrated expertise in
- designing and scaling Generative AI platforms and applications
- , leveraging
- agentic frameworks
- and orchestration technologies such as
- LangGraph, MCP
- , or equivalent, to deliver enterprise-grade AI solutions.
- Deep knowledge of
- transformer architectures
- machine learning lifecycles
- , with proven experience leading
- large-scale batch inference pipelines
- GPU clusters.
- Extensive experience leveraging
- modern distributed technologies
- Kafka, PostgreSQL, SAP HANA, gRPC, AWS, Kubernetes, and Docker
- to build
- scalable, resilient, and high-performance AI and data platforms
- Mentor and guide engineers from junior to senior levels, fostering technical excellence
- Partner with cross-functional teams to translate business goals into scalable, high-impact solutions
Qualifications:
- Bachelor’s degree in Computer Science, Mathematics, Physics, or related field, with strong programming expertise
- 10+ years of software engineering experience, with a track record of delivering complex systems
- Proven ability to work independently and lead initiatives from idea to deployment
- Hands-on experience with
- systems in a production environment
- Expertise in distributed systems design and implementation
- Familiarity with CI/CD pipelines and modern development practices
- Strong English communication skills and ability to thrive in global, multicultural teams
- Open-source contributions or significant personal technical projects
- Experience integrating AI capabilities into large-scale enterprise productsStrong problem-solving skills and an iterative, results-oriented mindset

Qualifications

- Bachelor’s degree in Computer Science, Mathematics, Physics, or related field, with strong programming expertise
- 10+ years of software engineering experience, with a track record of delivering complex systems
- Proven ability to work independently and lead initiatives from idea to deployment
- Hands-on experience with systems in a production environment
- Expertise in distributed systems design and implementation
- Familiarity with CI/CD pipelines and modern development practices
- Strong English communication skills and ability to thrive in global, multicultural teams
- Open-source contributions or significant personal technical projects
- Experience integrating AI capabilities into large-scale enterprise productsStrong problem-solving skills and an iterative, results-oriented mindset

Responsibilities

- Architect, design, and implement production systems in Go, Java
- Demonstrated expertise in designing and scaling Generative AI platforms and applications leveraging agentic frameworks and orchestration technologies such as LangGraph, MCP or equivalent, to deliver enterprise-grade AI solutions.
- Deep knowledge of transformer architectures machine learning lifecycles with proven experience leading large-scale batch inference pipelines GPU clusters.
- Extensive experience leveraging modern distributed technologies
- Kafka, PostgreSQL, SAP HANA, gRPC, AWS, Kubernetes, and Docker to build scalable, resilient, and high-performance AI and data platforms
- Mentor and guide engineers from junior to senior levels, fostering technical excellence
- Partner with cross-functional teams to translate business goals into scalable, high-impact solutions

More openings at SAP Labs