Data Science Lead

📋 Description

• Lead ML/GenAI architecture for automated regulatory validation workflows.
• Design and optimize LLM-powered retrieval and validation pipelines (RAG).
• Establish evaluation, benchmarking, and CI for AI system performance.
• Develop explainability, traceability, and validation mechanisms for compliance.
• Collaborate with ML Eng and Backend Eng to productionize AI components.
• Drive decisions on embeddings, vector DBs, retrieval strategies, and AI infra.

🎯 Requirements

• Strong hands-on experience in Data Science, ML, and production AI.
• Experience deploying LLM-based solutions in production.
• Practical experience with RAG architectures and LLM-driven retrieval.
• Experience with vector databases, embeddings, embedding pipelines.
• Strong Python and modern ML/AI framework skills.
• Model evaluation, benchmarking, validation framework design.

🎁 Benefits

• Competitive salary package.
• Opportunity to work on international AI initiatives in regulated enterprise.
• Comprehensive healthcare coverage.
• Long-term B2B contract with stable project pipeline.
• Fully remote working model.
• Opportunity to work with modern LLM, RAG, ML, AI platforms.