Role: AI Engineer
Location: Vashi, Navi Mumbai (4 days working from office)
About the Role
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 contemporary 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
• 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 work

📌 AI Engineer (Mumbai)
🏢 Morningstar
📍 Mumbai