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.
- 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.
- 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.
Skills Required
- 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
What We Do
We Empower & Transform customers’ business through the use of digital technologies. Our core focus areas are Big-Data, Cloud, Analytics (AI, ML), Blockchain, Automation & Mobility. We enable navigation of digital transformation for several fortune 1000 clients in USA, Canada, UK & India. NucleusTeq is a software services, solutions & products company empowering & transforming customers’ business through the use of digital technologies such as Big-Data, Analytics (AI, ML), Cloud, Enterprise Automation, Block-chain, Mobility, CRM & ERP.
