Data Scientist(NCS/Job/ 1779)

Contract – 6 months

Work location – HSR Layout, Bangalore

Working Days – Sunday to Thursday (ME Shift)

 

1)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.

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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.

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Required Qualifications

•            4+ years of hands-on experience as a Data Scientist, ML Engineer, or AI Researcher.

•            Strong Python programming expertise with proficiency in machine learning and LLM-related libraries.

•            Proven experience deploying generative AI and RAG-based systems in production.

•            Deep understanding of Azure services, especially Azure Machine Learning, Web Apps, and Functions.

•            Strong grasp of RESTful APIs, microservices, and real-time ML inference pipelines.

•            Solid experience with vector databases (e.g., Qdrant, FAISS, Chroma etc.)

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Preferred Skills

•            Experience with AutoGen, LangGraph, CrewAI, or custom agent frameworks.

•            Working knowledge of embedding techniques and semantic search.

•            Familiarity with Docker, Git, and CI/CD pipelines for model deployment.

•            Exposure to OpenAI, Anthropic, Gemini, Claude, or similar LLM APIs.

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Tools & Technologies

•            Languages & Frameworks: Python, FastAPI, Flask

•            Cloud: Azure ML, Azure Web Apps, Azure Functions

•            LLMs & GenAI: OpenAI, HuggingFace, LangChain, AutoGen, LangGraph

•            Vector DBs: FAISS, Pinecone, Chroma, Qdrant

•            DevOps & Deployment: Docker, Git, CI/CD (GitHub Actions, Azure DevOps)