Ds

NucleusTeq is looking for a self-motivated Data Scientist with a solid grasp of AI/ML fundamentals and a relentless drive for innovation. This role requires an agile builder who can bridge the gap between model research and production-grade software with a product-focused mindset. ### Key Responsibilities * Implement high-performance systems leveraging **LLMs, Generative AI, and traditional ML t**o 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. ### Key Requirements * Engineering Degree or equivalent in Computer Science, IT, AI/ML, Data Science or related streams * 4+ years of hands-on experience in GenAI, Agentic AI, MCP & LLM’s * Experience in deploying models in production environments. ### **Why Join Us?** * Work in an innovative environment with the business that is shaping the future of data migration. * Be part of a **dynamic, high-growth environment** at **NucleusTeq**. * Competitive salary and **comprehensive benefits package**.