Senior Data Scientist

Responsibilities

• Implement high-performance systems leveraging LLMs, Generative AI, and traditional ML to solve enterprise-scale problems
• Build and maintain RAG (Retrieval-Augmented Generation) workflows and data pipelines using Python and vector databases
• Refine model outputs through prompt engineering, fine-tuning, and latency optimization
• Write modular, scalable code and integrate AI services into cloud ecosystems (AWS, Azure, or GCP)
• Rapidly integrate emerging frameworks like LangChain, LlamaIndex, and Hugging Face into production workflows
• Implement automated testing, model monitoring, and "golden datasets" to ensure reliability and safety

Requirements

• 8+ years of hands-on experience in GenAI, Agentic AI, MCP & LLM’s
• Experience in deploying models in production environments
• Solid grasp of AI/ML fundamentals
• Ability to bridge the gap between model research and production-grade software

About the Company

NucleusTeq is a dynamic, high-growth environment shaping the future of data migration through innovative AI and machine learning solutions.