{"id":2771014,"url":"https://alion.io/job/celebal-tech-senior-lead-data-science","title":"Senior Lead - Data Science","company":{"id":2810284,"name":"Celebal Tech","domain":"celebaltech.com","url":"https://alion.io/company/celebaltech","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Jaipur, India","Bengaluru, India","Pune, India","Noida, India","Gurgaon, India","Hyderabad, India","Ahmedabad, India","Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":53000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"DeepEval","optional":false},{"name":"Delta Lake","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Git","optional":false},{"name":"Hallucination","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Milvus","optional":false},{"name":"Mistral","optional":false},{"name":"MLFlow","optional":false},{"name":"NVIDIA NeMo","optional":false},{"name":"OpenAI","optional":false},{"name":"PEFT","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Qdrant","optional":false},{"name":"QLoRA","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false},{"name":"TruLens","optional":false},{"name":"Ollama","optional":true},{"name":"TensorRT","optional":true},{"name":"TensorRT-LLM","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-09-16T04:48:58Z","employer_posted_date":null,"last_verified_at":"2026-09-16T04:48:58Z","board_verified":false,"closed_at":null,"days_open":36,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":36},"description":"Senior Data Scientist - GenAI & Agentic AI.\n\nLocation : Jaipur / Bengaluru / Pune / Hyderabad / Noida / Ahmedabad / Gurugram / Chennai (Hybrid / Onsite).\n\nExperience : 5 - 9 Years.\n\nDepartment : Data Science & AI Practice.\n\nAbout Celebal Technologies :\n\nCelebal Technologies is a premier digital transformation and cloud - native solutions enterprise, recognized as a global Microsoft and Databricks partner.\n\nWe bridge enterprise challenges with modern intelligence across Big Data, Cloud Infrastructure, Data Engineering, and Applied Artificial Intelligence.\n\nRole Overview :\n\nWe 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).\n\nIn 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.\n\nKey Responsibilities :\n\n- 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.\n\n- GenAI & LLM Solutions: Develop scalable RAG systems, advanced vector search strategies, hybrid indexing, and context - aware retrieval solutions.\n\n- Fine - tuning: Apply fine - tuning techniques (PEFT, LoRA/QLoRA) and prompt optimization for domain - specific applications.\n\n- 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.\n\n- Evaluation & Governance: Establish rigorous evaluation frameworks (RAGAS, TruLens, DeepEval) tracking faithfulness, latency, token spend, guardrails (NeMo, Llama Guard), and hallucination mitigation.\n\n- 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.\n\n- 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.\n\nRequired Skills & Experience :\n\n- Experience: 5+ years of overall Data Science / ML experience, with 2+ years explicitly hands - on with LLMs, RAG, and Agentic AI frameworks.\n\n- Databricks Proficiency: Strong experience developing in the Databricks Lakehouse ecosystem (Delta Lake, MLflow, Unity Catalog, Databricks Model Serving).\n\n- GenAI Tooling: Advanced mastery of LangChain, LangGraph, LlamaIndex, Hugging Face Transformers, and open/closed model APIs (OpenAI, Anthropic, Azure OpenAI, Mistral, LLaMA).\n\n- Vector Databases: Hands - on experience with vector stores such as Databricks Vector Search, Azure AI Search, Pinecone, Milvus, or Qdrant.\n\n- Languages & Foundations: Production - grade Python (async programming, OOP, design patterns), SQL, PyTorch/TensorFlow, and Git - driven CI/CD.\n\n- Cloud Platforms: Prior experience with Microsoft Azure (Azure OpenAI Service, Cognitive Services, Azure Machine Learning) or AWS.\n\nPreferred Qualifications :\n\n- Databricks Certified Machine Learning Professional or Generative AI Engineer certification.\n\n- Microsoft Certified: Azure AI Engineer Associate (AI - 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