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Machine Learning Engineer @ SAP

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 Machine Learning Engineer

Job Description

What you ll do:

As a 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:
  • 3+ 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

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Quality Assurance and Testing
Role: Blockchain Quality Assurance Engineer
Employement Type: Full time

Contact Details:

Company: SAP
Location(s): Bengaluru

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Keyskills:   Software design Backend SAP orchestration cassandra Machine learning market data Distribution system Analytics Python

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