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.
- Market-competitive salary and comprehensive benefits package.

📌 Senior Data Scientist (India)
🏢 Nucleusteq
📍 India