Senior Data Scientist (Gen AI)
Senior Data Scientist (Gen AI)
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
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 :
- Bachelors/Masters 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.
Additional Information :
Thrive & Grow with Us:
- Competitive Salary: Your skills and contributions are highly valued here and we make sure your salary reflects that rewarding you fairly for the knowledge and experience you bring to the table.
- Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly providing the right tools mentorship and experiences to fast-track your career.
- Idea Tanks: Innovation lives here. Our Idea Tanks are your playground to pitch experiment and collaborate on ideas that can shape the future.
- Growth Chats: Dive into our casual Growth Chats where you can learn from the bestwhether its over lunch or during a laid-back session with peers its the perfect space to grow your skills.
- Snack Zone: Stay fuelled and inspired! In our Snack Zone youll find a variety of snacks to keep your energy high and ideas flowing.
- Recognition & Rewards: We believe great work deserves to be recognized. Expect regular Hive-Fives shoutouts and the chance to see your ideas come to life as part of our reward program.
- Fuel Your Growth Journey with Certifications: Were all about your growth groove! Level up your skills with our support as we cover the cost of your certifications.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
