Senior Machine Learning Engineer- Bangalore Job Details SAP- Bengaluru/ Bangalore-SAP Ariba-6-9[...]

SAP Ariba; Bengaluru; On-site; INR 15,00,000 - 25,00,000; Full time

Job summary

A leading technology company in Bengaluru is seeking a Senior Machine Learning Engineer. In this role, you will architect and optimize ML workflows, mentor junior engineers, and drive the implementation of AI services. The ideal candidate should have over 6 years of experience in machine learning, deep proficiency in Python, and a strong background in large language models. Competitive compensation and a collaborative work environment await you.

Qualifications

• 6 years of professional experience in machine learning engineering or software engineering.
• Deep proficiency in Python and familiarity with Go/TypeScript.
• Strong background in ML/AI, especially with large language models.

Responsibilities

• Architect and optimize ML-driven workflows.
• Lead design discussions and mentor junior engineers.
• Evaluate and integrate foundation models.

Skills

Machine learning engineering

Python

Distributed systems

Cloud-native infrastructure

Orchestration frameworks

Problem-solving skills

Mentoring engineers

Tools

Kubernetes

AWS/Azure

Postgres

Cassandra

Job description

Senior Machine Learning Engineer- Bangalore Job Details | SAP

Job Description

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.

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.

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.

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.

EOE AA M/F/Vet/Disability: