Data Science Lead – AI Platform

Lead the development of an AI-powered platform that automates pharmaceutical marketing compliance review. This role combines RAG architecture, vector search, and LLM-based validation to extract, validate, and flag compliance risks in marketing materials.

What You’ll Do:

• Lead a Data Science team building production ML/LLM systems for document AI and compliance workflows

• Design and deploy end-to-end ML pipelines with multi-stage validation, observability, and cost optimization

• Implement vector search, embeddings, semantic search, and document processing pipelines

• Mentor engineers, define metrics and success criteria, and guide technical decisions across the team

• Collaborate cross-functionally to scale AI solutions and improve accuracy, efficiency, and reliability

Must-Haves:

• 5+ years in Data Science/ML Engineering, including 2+ years in senior or lead roles

• Hands-on experience with LLMs, RAG systems, and production ML pipelines

• Advanced Python skills and experience with AWS cloud infrastructure

• Proven track record deploying AI/LLM systems at scale, ideally in regulated environments

Nice-to-Haves:

• AWS certifications or open-source ML contributions

Why Join:

• Lead cutting-edge AI/ML projects at the intersection of ML, NLP, and compliance

• Shape the architecture and roadmap of a high-impact, production-scale platform

• Mentor a growing team of Data Scientists and ML Engineers