Data Scientist - LLM / RAG

Job Title : Data Scientist Machine Learning & Generative AI

About the Role :

We are seeking a highly skilled and forward-thinking Data Scientist with 4+ years of experience in building intelligent solutions using machine learning (ML) and generative AI. This role is pivotal in advancing our AI initiatives, particularly in deploying RAG (Retrieval-Augmented Generation) pipelines and building autonomous agents using cutting-edge frameworks like AutoGen and LangGraph.

You will join a collaborative, fast-paced, and innovative environment where your contributions will directly shape the way we deliver AI-driven insights and products across the business. If you are passionate about working with large language models (LLMs), vector stores, and production-grade ML pipelines, this is the role for you.

Key Responsibilities :

• Design, build, and deploy end-to-end ML and generative AI models, ensuring scalability and reliability.
• Develop Retrieval-Augmented Generation (RAG) pipelines integrated with domain-specific data.
• Build and maintain autonomous AI agents using frameworks such as AutoGen, LangGraph, or similar tools.
• Collaborate with cross-functional teams to deploy AI applications on Azure cloud infrastructure (e.g., Azure ML, Web Apps, Azure Search, Foundry etc).
• Fine-tune LLMs for specific business tasks using prompt engineering or model training techniques.
• Work with embedding models, vector databases, and custom knowledge retrieval pipelines.
• Ensure model robustness through MLOps best practices, including version control, CI / CD workflows, and containerized deployments.
• Build APIs and services using frameworks like FastAPI or Flask for serving AI models.

Required Qualifications :

Preferred Skills :

Tools & Technologies :

(ref : hirist.tech)