We’re looking for a Marketing AI / Machine Learning Engineer to join the Analytics Engineering team within Marketing Intelligence and Operations (MIOps). This role focuses on building and operationalizing AI-driven systems that improve marketing measurement, automate workflows, and scale insight generation.
You will work across the full lifecycle of AI solutions, partnering with Marketing, Analytics, and Engineering to turn business problems into scalable, production-ready systems. These solutions may include machine learning models, generative AI workflows, and agent-based automation.
Role Scope & Impact
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
This role is not about owning a single model or tool. It is about helping Marketing move faster and smarter by embedding AI into how work actually gets done.
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 (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
Don't want to miss the next one?
Subscribe to daily email alerts for roles matching your interests.
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
Morningstar is an equal opportunity employer.
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. 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. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity
Similar roles you might like
More openings like this one — take a look before you go.
