Vacancy description
CELEBAL TECHNOLOGIES PRIVATE LIMITED
India, Ahmedabad
Celebal Technologies - Senior Lead - Data Science in Ahmedabad, India is listed on Jobeax. Browse 30,000+ vacancies available.
Senior Data Scientist - GenAI & Agentic https://jobeax.com/link/wcOQZQptpcVo4R3F : Jaipur / Bengaluru / Pune / Hyderabad / Noida / Ahmedabad / Gurugram / Chennai (Hybrid / Onsite).Experience : 5 - 9 https://jobeax.com/link/mzdmxPhnDgBgLxXq : Data Science & AI https://jobeax.com/link/EbGx6L4goRjrdpD6 Celebal Technologies :Celebal Technologies is a premier digital transformation and cloud - native solutions enterprise, recognized as a global Microsoft and Databricks https://jobeax.com/link/z5IScpoZA6T2iqD7 bridge enterprise challenges with modern intelligence across Big Data, Cloud Infrastructure, Data Engineering, and Applied Artificial https://jobeax.com/link/Z4S3vFYKsGGU38on 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 https://jobeax.com/link/OBSYxKmspgkYWOcn 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 https://jobeax.com/link/CTN2m1D4hMMKYhzw 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 https://jobeax.com/link/x0s8XtEWiLbcDcct 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 https://jobeax.com/link/ClcwQg3Xe0Yg5wLt 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. (ref:hirist.tech)
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