Data Science Lead

📋 Description

• Design, evolve, and oversee AI and ML architecture supporting automated compliance validation
• Design and optimize LLM-powered retrieval and validation pipelines, including Retrieval Augmented
• Establish evaluation frameworks, benchmarking approaches, and continuous improvement processes to
• Develop explainability, traceability, and validation mechanisms that support regulatory and
• Collaborate closely with ML Engineers and Backend Engineers to productionize AI components and
• Drive technical decisions around embeddings, vector databases, retrieval strategies, and related AI

🎯 Requirements

• Strong hands-on experience in Data Science, applied Machine Learning, and production AI.
• Proven experience deploying LLM-based solutions in production.
• 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 ML 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.
• Significant technical ownership and influence over enterprise AI architecture and delivery.