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Urgent! Data Scientist - LLM/RAG Job Opening In Chennai – Now Hiring Adept Consulting

Data Scientist LLM/RAG



Job description

<p><p><b>Job Title : </b> Data Scientist Machine Learning & Generative AI<br/><br/><b>About the Role : </b><br/><br/>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.<br/><br/>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.<br/><br/><b>Key Responsibilities : </b><br/><br/>- Design, build, and deploy end-to-end ML and generative AI models, ensuring scalability and reliability.<br/><br/>- Develop Retrieval-Augmented Generation (RAG) pipelines integrated with domain-specific data.<br/><br/>- Build and maintain autonomous AI agents using frameworks such as AutoGen, LangGraph, or similar tools.<br/><br/>- Collaborate with cross-functional teams to deploy AI applications on Azure cloud infrastructure (e.g., Azure ML, Web Apps, Azure Search, Foundry etc).<br/><br/>- Fine-tune LLMs for specific business tasks using prompt engineering or model training techniques.<br/><br/>- Work with embedding models, vector databases, and custom knowledge retrieval pipelines.<br/><br/>- Ensure model robustness through MLOps best practices, including version control, CI/CD workflows, and containerized deployments.<br/><br/>- Build APIs and services using frameworks like FastAPI or Flask for serving AI models.<br/><br/><b>Required Qualifications : </b><br/><br/>- 4+ years of hands-on experience as a Data Scientist, ML Engineer, or AI Researcher.<br/><br/>- Strong Python programming expertise with proficiency in machine learning and LLM-related libraries.<br/><br/>- Proven experience deploying generative AI and RAG-based systems in production.<br/><br/>- Deep understanding of Azure services, especially Azure Machine Learning, Web Apps, and Functions.<br/><br/>- Strong grasp of RESTful APIs, microservices, and real-time ML inference pipelines.<br/><br/>- Solid experience with vector databases (e.g., Qdrant, FAISS, Chroma etc.)<br/><br/><b>Preferred Skills : </b><br/><br/>- Experience with AutoGen, LangGraph, CrewAI, or custom agent frameworks.<br/><br/>- Working knowledge of embedding techniques and semantic search.<br/><br/>- Familiarity with Docker, Git, and CI/CD pipelines for model deployment.<br/><br/>- Exposure to OpenAI, Anthropic, Gemini, Claude, or similar LLM APIs.<br/><br/><b>Tools & Technologies : </b><br/><br/><b>- Languages & Frameworks : </b> Python, FastAPI, Flask<br/><br/><b>- Cloud : </b> Azure ML, Azure Web Apps, Azure Functions<br/><br/><b>- LLMs & GenAI : </b> OpenAI, HuggingFace, LangChain, AutoGen, LangGraph<br/><br/><b>- Vector DBs : </b> FAISS, Pinecone, Chroma, Qdrant<br/><br/><b>- DevOps & Deployment : </b> Docker, Git, CI/CD (GitHub Actions, Azure DevOps)</p><br/></p> (ref:hirist.tech)


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