Lead Data Scientist
- Uplers
- 5 - 8 years
- Hyderabad
- 14 days ago
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Job Description
Lead Data ScienceExperience: 5-8 Years Exp
Salary: 35 LPA to 43 LPA
Preferred Notice Period: Within 30 Days
Opportunity Type: Office (Hyderabad)
Placement Type: Permanent(*Note: This is a requirement for one of Uplers' Clients)Must have skills: Python, LLM, GenAI, Tensorflow, Retrieval Augmented Generation(RAG)
Blend360 (One of Uplers' Clients) is looking for:
About Blend360:
Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology, and analytics. The company has two divisions: Data Science Solutions. We work at the intersection of data, technology, and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.Job Description
We are hiring a Lead 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
Bachelors/Masters in Computer Science, Artificial Intelligence, or related field.
7+ 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
Step 1: Online Assessment
Step 2: Technical Screenings 1:
1 Technical Screening with Technical Panel (45 mins)
1 Technical round with Senior Technical Panel (45 mins)
Step 3: Technical Interviews 2 :
1 Technical rounds of Interview with Reporting Manager (45 mins)
Agenda: To assess on technical parameters giving white board programming, problem solutioning and story telling
1 Technical rounds of Interview with Project Manager (45 mins)
To assess on overall fitment
Step 4: 1 Project Review (45 mins):
30 mins of presentation any chosen related topic with minimum 6 - 8 slides
10 - 15 mins Question and Answers by panels
All interviewers will be part of the discussion.
Step 5 : Client Interview (45 mins
How to apply for this opportunity:
Easy 3 Step Process:
1. Click On Apply and register or log in to our portal
2.Upload updated Resume & complete the Screening Form
3. Increase your chances of getting shortlisted & meet the client for the Interview!About Uplers:
Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.
(Note: There are many more opportunities apart from this on the portal.)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!
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: UplersLocation(s): Hyderabad
Keyskills: Generative Ai Python Tensorflow Large Language Model Rag LLM
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Uplers
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