Lead Data Scientist

Development

8–12 years of experience in Data Science/AI, with at least 3–4 years leading ML/GenAI solution delivery
Strong foundation in Python, ML/AI frameworks, cloud platforms (AWS, Azure, GCP), and LLM-based architectures with vector databases and RAG pipelines
Strong understanding of BI tools, actionable insights, hypothesis testing, business recommendations
Proven track record of taking solutions from design → deployment → adoption
Experience in estimating infra requirements and cost of ownership
Education: Degree in Statistics, Mathematics, Economics, Computer Science, AI/ML, Data Science, or any equivalent quantitative field
A go-getter, ambitious yet practical leader with excellent problem-solving, communication, and stakeholder management skills

Blueprint & Architecture: Translate business needs into logical workflows, data flows, and technical architectures
Solution Delivery: Build and deploy GenAI capabilities (document intelligence, semantic search, summarization, conversational Q&A) and ML solutions (Linear and non-linear forecasting, classification, clustering, recommendation engines, anomaly detection, model accuracy, explainability, traceability etc.)
Deployment & Ops: Implement MLOps/GenAIOps practices — CI/CD, monitoring, retraining, and governance
Cost & Ownership: Prepare Bill of Materials, infra sizing, and cost of ownership models for client and internal deployments
Team Leadership: Mentor and guide data scientists/engineers to deliver high-quality, production-ready solutions
Stakeholder Engagement: Communicate solutions clearly, align with client priorities, and drive adoption

Chennai

Full time

8+ years

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