Jobs on TAL
All jobsHybridEngineeringb2b saas4-5 yearspython
HybridSeniorb2b saas

Senior Machine Learning Engineer

MorningstarNavi Mumbai, Maharashtra, IndiaPosted 19 May 2026

Morningstar is seeking a Senior Machine Learning Engineer to own the lifecycle of ML and GenAI solutions, including LLM-powered applications for ESG analytics. The role involves designing scalable architecture, building production inference services, and implementing robust MLOps pipelines. Candidates should have a strong background in Python, ML modeling, and production deployment on AWS. This is a hybrid role based in Navi Mumbai focusing on deep technical ownership.

Matched by TAL

50k new jobs listed every day. Install TAL to find more jobs like this.

Install TAL

Experience

4-5 years

Function

Engineering

Work mode

Hybrid, India

Company

Tier 2

What you will work on

Morningstar is seeking a Senior Machine Learning Engineer to own the lifecycle of ML and GenAI solutions, including LLM-powered applications for ESG analytics. The role involves designing scalable architecture, building production inference services, and implementing robust MLOps pipelines. Candidates should have a strong background in Python, ML modeling, and production deployment on AWS. This is a hybrid role based in Navi Mumbai focusing on deep technical ownership.

TAL's take

Quality 60/1005/5 clarityTier 2 company

Solid tier-2 company with a well-defined, impactful role in ML and GenAI systems.

Very clear responsibilities ranging from model development to productionization, deployment, and MLOps.

Salaries at Morningstar

10.8 LPA average

Based on 23 Grapevine salary entries for Morningstar.

View all salaries

Engineering

2 - 4 years | L2

8 LPA average

Range: 8 - 9 LPA

Engineering

4 - 6 years | L1

9 LPA average

Range: 9 - 9 LPA

Engineering

6 - 8 years

20 LPA average

Range: 20 - 20 LPA

Engineering

10 - 12 years | L1

22 LPA average

Range: 22 - 22 LPA

Must haves

  • 4+ years experience in ML or applied AI
  • Strong programming skills in Python
  • Experience building and deploying ML models in production
  • Solid understanding of ML concepts
  • Experience with LLMs and GenAI
  • Experience with PostgreSQL, Docker, and AWS

Tools and skills

pythonpostgresqlawsdockerkubernetesragllmsgenaici/cdrest apis

Nice to have: langchain, llamaindex, cloudwatch, prometheus, grafana, terraform, cloudformation, ocr.

About the company

Established global financial research and software company, but not a primary big tech engineering powerhouse.

Posts mentioning Morningstar