We’re looking for a Marketing AI / Machine Learning Engineer to join the Analytics Engineering team within Marketing Intelligence and Operations (MIOps).

Company: Morningstar India Private Ltd.

Role: Marketing AI/ML Engineer

Location: Navi Mumbai, India

Experience:

1–3 years of experience in ML, data science, analytics engineering, or software engineering

Key Skills:

Python
SQL
machine learning
Pandas
NumPy
Scikit-learn
GenAI
prompting
embeddings
vector search
evaluation

Qualification:

Bachelor’s degree required; Master’s preferred in a quantitative field

Role Focus:

Build and scale AI-driven systems that support marketing measurement, experimentation, and decision-making
Develop automation and agent-based workflows that reduce manual analysis and operational overhead
Ensure outputs are interpretable, reliable, and aligned to business context
Contribute to a modern marketing intelligence ecosystem combining ML, GenAI, and analytics engineering

Additional responsibilities:

Design, develop, and deploy machine learning and generative AI solutions for marketing use cases
Build and maintain scalable data and model pipelines across the ML lifecycle
Develop GenAI capabilities including prompt workflows, embeddings, and retrieval-augmented generation (RAG) patterns
Contribute to AI agents and automation workflows that streamline marketing analysis and operations
Partner with Marketing and Analytics teams to translate business needs into technical solutions
Perform data preparation, feature engineering, and validation across marketing and enterprise data sources
Integrate AI outputs into dashboards, tools, and downstream workflows
Document systems, models, and outputs to ensure transparency and usability

Nice to have:

GenAI / LLMs
Experience with LLM frameworks (LangChain, LlamaIndex, Semantic Kernel)
Experience with RAG systems and vector databases
Familiarity with LLM APIs (OpenAI, Anthropic, Azure OpenAI, open-source)
Experience evaluating LLM outputs (quality, bias, hallucination)
AI Systems / Ops
Exposure to MLOps / LLMOps (experiment tracking, monitoring, CI/CD)
Experience with agent-based workflows or orchestration
Domain / Tools
Experience with marketing tech or analytics (CRM, paid media, web analytics)
Experience with BI tools or analytics workflows
Demonstrated side projects or experimentation in AI/ML

Other:

Morningstar is an equal opportunity employer.
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week.
In most of our locations, our hybrid work model is four days in-office each week.
A range of other benefits are also available to enhance flexibility as needs change.

Marketing AI/ML Engineer

Skills Required

Description