Morningstar

Marketing AI/ML Engineer

Morningstar

Navi Mumbai•Hybrid•1-4 Yrs•Jun 20

Hybrid

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 (data prep, modeling, evaluation, deployment, monitoring)
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

Bachelor’s degree required; Master’s preferred in a quantitative field
1–3 years of experience in ML, data science, analytics engineering, or software engineering
Strong foundation in machine learning (regression, classification, clustering, evaluation)
Proficiency in Python and SQL for data and model development
Familiarity with GenAI concepts (prompting, embeddings, vector search, evaluation)
Exposure to modern data platforms (Snowflake, Databricks, BigQuery) and version control (Git)
Ability to work cross-functionally and communicate technical concepts clearly
Familiarity with LLM APIs (OpenAI, Anthropic, Azure OpenAI, open-source)
AI Systems / Ops
Exposure to MLOps / LLMOps (experiment tracking, monitoring, CI/CD)
Domain / Tools
Demonstrated side projects or experimentation in AI/ML

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