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


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)

Required Skill Profession

Mathematical Science Occupations


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6. Respect for human rights

7. Obeying India laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Chennai. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Adept Consulting interview tips for Data Scientist   LLM/RAG

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