Senior Data Scientist

Self-motivated Engineer 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.

Experience Required

• 8+ 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
• .