NucleusTeq - Data Scientist - AI/ML Solutions

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 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. 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 & LLMs. - 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. 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 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. 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 & LLMs. - 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.