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Senior Data Scientist (Gen AI)

3 - 6 years

20 - 25 Lacs

Posted:6 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Description
Blend is hiring a Senior Data Scientist (Generative AI) to spearhead the development of advanced AI-powered classification and matching systems on Databricks. You will contribute to flagship programs like the Diageo AI POC by building RAG pipelines, deploying agentic AI workflows, and scaling LLM-based solutions for high-precision entity matching and MDM modernization.

Key Responsibilities

  • Design and implement end-to-end AI pipelines for product classification, fuzzy matching, and deduplication using

    LLMs, RAG, and Databricks-native workflows

    .
  • Develop scalable, reproducible AI solutions within

    Databricks notebooks and job clusters

    , leveraging Delta Lake, MLflow, and Unity Catalog.
  • Engineer Retrieval-Augmented Generation (RAG) workflows using vector search and integrate with Python-based matching logic.
  • Build agent-based automation pipelines (rule-driven + GenAI agents) for anomaly detection, compliance validation, and harmonization logic.
  • Implement explainability, audit trails, and governance-first AI workflows aligned with enterprise-grade MDM needs.
  • Collaborate with data engineers, BI teams, and product owners to integrate GenAI outputs into downstream systems.
  • Contribute to modular system design and documentation for long-term scalability and maintainability.

Qualifications
  • Bachelor s/Master s in Computer Science, Artificial Intelligence, or related field.
  • 5+ years of overall Data Science experience with 2+ years in Generative AI / LLM-based applications.
  • Deep experience with

    Databricks

    ecosystem: Delta Lake, MLflow, DBFS, Databricks Jobs & Workflows.
  • Strong Python and PySpark skills with ability to build scalable data pipelines and AI workflows in Databricks.
  • Experience with LLMs (e.g., OpenAI, LLaMA, Mistral) and frameworks like LangChain or LlamaIndex.
  • Working knowledge of vector databases (e.g., FAISS, Chroma) and prompt engineering for classification/retrieval.
  • Exposure to MDM platforms (e.g., Stibo STEP) and familiarity with data harmonization challenges.
  • Experience with explainability frameworks (e.g., SHAP, LIME) and AI audit tooling.

Preferred Skills

Knowledge of agentic AI architectures and multi-agent orchestration.
Familiarity with Azure Data Hub and enterprise data ingestion frameworks.
Understanding of data governance, lineage, and regulatory compliance in AI systems.

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Blend360 India
Blend360 India

Consulting / Data Analytics

Bangalore

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