Senior Lead - Data Science

Senior Data Scientist - GenAI & Agentic AI.

Location : Jaipur / Bengaluru / Pune / Hyderabad / Noida / Ahmedabad / Gurugram / Chennai (Hybrid / Onsite).

Experience : 5 - 9 Years.

Department : Data Science & AI Practice.

About Celebal Technologies :

Celebal Technologies is a premier digital transformation and cloud - native solutions enterprise, recognized as a global Microsoft and Databricks partner.

We bridge enterprise challenges with modern intelligence across Big Data, Cloud Infrastructure, Data Engineering, and Applied Artificial Intelligence.

Role Overview :

We are seeking an experienced Senior Data Scientist with end - to - end expertise in modern Generative AI, Large Language Models (LLMs), Agentic workflows, and cloud - native ML infrastructure (Databricks / Azure).

In this role, you will architect, evaluate, and productionize multi - agent systems, advanced Retrieval - Augmented Generation (RAG) pipelines, and customized foundational models for Fortune 500 enterprise clients.

Key Responsibilities :

- Agentic AI & Architectures: Design and deploy multi - agent systems using frameworks like LangGraph, AutoGen, CrewAI, or Semantic Kernel to automate multi - step enterprise workflows, tool invocation, and autonomous reasoning.

- GenAI & LLM Solutions: Develop scalable RAG systems, advanced vector search strategies, hybrid indexing, and context - aware retrieval solutions.

- Fine - tuning: Apply fine - tuning techniques (PEFT, LoRA/QLoRA) and prompt optimization for domain - specific applications.

- Databricks ML & Lakehouse Integration: Build data prep pipelines, orchestrate workflows, and register/deploy models via Databricks Mosaic AI, MLflow, Unity Catalog, and Databricks Model Serving.

- Evaluation & Governance: Establish rigorous evaluation frameworks (RAGAS, TruLens, DeepEval) tracking faithfulness, latency, token spend, guardrails (NeMo, Llama Guard), and hallucination mitigation.

- Production MLOps & Deployment: Collaborate with Data and DevOps engineers to expose models as low - latency APIs (FastAPI/Docker) hosted on Azure or AWS cloud infrastructure.

- Leadership & Strategy: Mentor mid - level and junior data scientists, run client architectural deep - dives, and contribute reusable frameworks to Celebal's AI Center of Excellence.

Required Skills & Experience :

- Experience: 5+ years of overall Data Science / ML experience, with 2+ years explicitly hands - on with LLMs, RAG, and Agentic AI frameworks.

- Databricks Proficiency: Strong experience developing in the Databricks Lakehouse ecosystem (Delta Lake, MLflow, Unity Catalog, Databricks Model Serving).

- GenAI Tooling: Advanced mastery of LangChain, LangGraph, LlamaIndex, Hugging Face Transformers, and open/closed model APIs (OpenAI, Anthropic, Azure OpenAI, Mistral, LLaMA).

- Vector Databases: Hands - on experience with vector stores such as Databricks Vector Search, Azure AI Search, Pinecone, Milvus, or Qdrant.

- Languages & Foundations: Production - grade Python (async programming, OOP, design patterns), SQL, PyTorch/TensorFlow, and Git - driven CI/CD.

- Cloud Platforms: Prior experience with Microsoft Azure (Azure OpenAI Service, Cognitive Services, Azure Machine Learning) or AWS.

Preferred Qualifications :

- Databricks Certified Machine Learning Professional or Generative AI Engineer certification.

- Microsoft Certified: Azure AI Engineer Associate (AI - 102).

- Demonstrated experience optimizing inference pipelines (vLLM, Ollama, TensorRT - LLM) or implementing Graph - based RAG.

What We Offer :

- Work on high - impact GenAI customer deployments across healthcare, retail, manufacturing, and BFSI sectors.

- Access to state - of - the - art enterprise cloud compute, model catalogs, and innovation labs.

- Continuous learning with industry certifications and exposure to top - tier enterprise AI conferences.

Skills

Data Science, Data Scientist, RAG, LLM, Python, Generative AI, Agentic AI, Azure, Tensorflow, LangChain, LangGraph