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 up-to-date 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. 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.

📌 Data Scientist Senior/Lead (India)
🏢 Celebal Technologies
📍 India