Senior Data Scientist

Responsibilities Conduct experiments, build RAG PoCs, and implement LLMs in production environments Evaluate LLM performance, develop robust prompts, and fine-tune models for specific business contexts Ensure scalability, reliability, and maintainability of LLM models through MLOps practices Work effectively in a Scrum team and document experiments, solutions, and methodologies Identify business needs, propose LLM-based solutions, and automate deployment, monitoring, and retraining processes Requirements Proficiency in LLM models, RAG architecture, prompt techniques, LLM frameworks, similarity search, vector databases, fine-tuning techniques, and evaluation metrics At least 3 years of experience in end-to-end LLM implementation Basic Python programming, Scrum experience, and strong communication skills A business-oriented mindset to understand and address business needs through LLM solutions Docker, Docker-Compose, Azure, and MLOps experience Experience in LLM app or CoPilot development