Lead Data scientist
Core
Architect, build, and run production-grade Machine Learning and Generative AI systems; translate market/customer data into decision-ready insights and AI-enabled analytics solutions.
Role type
Lead Data Scientist (ML & GenAI)
Builds
Production ML/GenAI models, enterprise LLM applications (RAG, fine-tuning), analytics dashboards, and automated data pipelines.
Domain
Generative AI, Machine Learning, Data Analytics, Cloud Infrastructure
Required skills
Python, SQL, Deep Learning (PyTorch/TensorFlow), GenAI (RAG, MCP, fine-tuning), MLOps, CI/CD, Model Deployment (AWS/Azure), Stakeholder Management
Preferred skills
Business Acumen, Rapid Prototyping, Complex Matrixed Environment Experience, AI Tooling Proficiency
Technologies
Azure, AWS, PyTorch, TensorFlow, MLflow, Python, SQL, LLMs, RAG, MCP
Responsibilities
Design and optimize ML/GenAI models for prediction, classification, and NLP; Build and operate real-time/batch inference solutions with CI/CD pipelines; Develop enterprise LLM applications using RAG and agentic workflows; Own analytics products including dashboards and critical commercial datasets; Mentor data scientists and set engineering standards for codebases.
Seniority
Senior, hands-on IC with leadership responsibilities
