Key Responsibilities
Business Understanding & Solutioning
- Engage with clients / stakeholders to define analytics roadmaps.
- Translate business problems into ML, DL, or GenAI-driven analytical solutions.
- Participate in pre-sales activities, including creating pitch decks, framing solutions, and presenting to clients.
Modeling & AI Development
Develop models for Prediction, Forecast, Segmentation, Churn, CLV, Recommendation Systems.Build Generative AI solutions using LLMs, Transformers, Autoencoders.Implement scalable AI / ML pipelines with MLOps tools (MLflow, Docker, CI / CD).Team Leadership & Collaboration
Lead and mentor 5–10+ data scientists.Work with engineering, product, and client teams to integrate AI in workflows.Knowledge Sharing & Mindset
Promote a learning culture; share knowledge across the team.Coach junior ML members and foster collaboration.