Senior Data Scientist Gen AI

Experience: 5.00 + years

Salary: INR 2500000-3300000 / year (based on experience)

Expected Notice Period: 30 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Office (Hyderabad)

Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Blend360)

(*Note: This is a requirement for one of Uplers' client - Blend360)

What do you need for this opportunity?

Must have skills required:

MDM platforms, Gen AI, Python

Blend360 is Looking for:

We are 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.
  
  
  

Interview Process

• Online Assessment
• Technical Screenings -2
• Technical Interviews - 2
• Project Review
• Client Interview
  
  
  

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
  
  
  

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!