Data Science Lead

📋 Description

• Lead the architecture and evolution of machine learning and GenAI capabilities supporting automated
• Design and optimize LLM-powered retrieval and validation pipelines, including Retrieval Augmented
• Establish evaluation frameworks, benchmarking approaches, and continuous improvement processes for

🎯 Requirements

• Strong hands-on experience in Data Science, applied ML, and production AI systems.
• Proven experience designing and deploying LLM-based solutions in production environments.
• Practical experience with Retrieval Augmented Generation architectures and LLM-driven retrieval
• Experience with vector databases, embeddings, and embedding-generation pipelines.
• Strong Python programming skills and familiarity with modern ML/AI frameworks.
• Demonstrated experience designing model evaluation, benchmarking, and validation frameworks.

🎁 Benefits

• Competitive salary package.
• Opportunity to work on international, high-impact AI initiatives within a regulated enterprise
• Comprehensive healthcare coverage.
• Long-term B2B contract with a stable project pipeline.
• Fully remote working model.
• Opportunity to work with modern LLM, RAG, ML, and AI platform technologies.