Lead Data Scientist

About the role

This is a senior hands-on technical leadership role responsible for solving complex Earth Observation challenges using advanced ML/CV, and leading teams toward state-of-the-art, production-ready solutions.

What you'll do

• Own technical charters and roadmap for multiple ML/CV initiatives
• Lead and mentor applied scientists, mapping complex EO problems into actionable, scalable decision systems
• Drive hypothesis generation, experimentation, architecture design, model development, and deployment for production ML pipelines
• Own E2E delivery of large-scale ML/CV systems - from problem framing to data design, model development, deployment, and monitoring
• Collaborate with Product, MLOps, Platform, and Geospatial experts to convert ambiguous requirements into elegant solutions

What you need

• 6–11 yrs of experience
• Machine learning
• Python
• SQL
• MLOps
• Computer vision
• PyTorch
• M.Tech or PhD

Good to have

• NLP
• ETL
• Spark
• IPR