Data Scientist

Dun & Bradstreet India; Chennai District; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Dun & Bradstreet India seeks an experienced AI/ML engineer to build GenAI applications, agent workflows, and scalable ML pipelines. You will work on LangChain/LangGraph, RAG, vector search, and model evaluation.

Collaborate with data scientists, product and engineering teams to productionize POCs and develop APIs/SDKs, ensuring scalable, cloud-ready deployments.

Qualifications

• 8-12 years of experience in AI/ML engineering, data science, or software engineering.
• Strong programming expertise in Python and PySpark.
• Hands-on experience with GenAI frameworks and AI agents.
• Experience with cloud platforms and CI/CD for ML/AI.

Responsibilities

• Build agentic workflows using LangChain/LangGraph and related frameworks for data validation, reporting, and document processing.
• Deploy scalable, resilient agent pipelines with monitoring and evaluation.
• Develop GenAI applications with models like GPT, Gemini, and LLaMA, including RAG and vector search.
• Collaborate with data scientists and engineering to productionize POCs and build APIs/SDKs.

Skills

Python programming

Distributed computing

APIs

LLM frameworks

AI agent development

System design thinking

Verbal & written communication

Tools

LangChain

LangGraph

Transformers

OpenAI SDK

Vertex SDK

Bedrock SDK

PySpark

Docker

Job description

• Build agentic workflows using LangChain/LangGraph and similar frameworks. Develop autonomous agents for data validation, reporting, document processing, and domain workflows
• Deploy scalable, resilient agent pipelines with monitoring and evaluation

GenAI Application Engineering

• Develop GenAI applications using models like GPT, Gemini, and LLaM
• Implement RAG, vector search, prompt orchestration, and model evaluation
• Partner with data scientists to productionize POCs
• Build distributed data pipelines (Python, PySpark)
• Develop APIs, SDKs, and integration layers for AI-powered applications
• Optimize systems for performance and scalability across cloud/hybrid environments.

MLOps / LLMOps

• Contribute to CI/CD workflows for AI models-deployment, testing, monitoring
• Implement governance, guardrails, and reusable GenAI frameworks.

Collaboration & Stakeholder Engagement

• Work with analytics, product, and engineering teams to define and deliver AI solutions
• Participate in architecture reviews and iterative development cycles
• Support knowledge sharing and internal GenAI capability building.

Key Requirements:

• 8-12 years of experience in AI/ML engineering, data science, or software engineering, with atleast 2 years focused on GenAI
• Strong programming expertise in Python, distributed computing using PySpark, and API development
• Hands on experience with LLM frameworks (LangChain, LangGraph, Transformers, OpenAI/Vertex/Bedrock SDKs)
• Experience developing AI agents, retrieval pipelines, tool calling structures, or autonomous task orchestration
• Solid understanding of GenAI concepts: prompting, embeddings, RAG, evaluation metrics, hallucination identification, model selection, fine tuning, context engineering
• Experience with cloud platforms (Azure/AWS/GCP), containerization (Docker), and CI/CD pipelines for ML/AI
• Strong problem solving, system design thinking, and ability to translate business needs into scalable AI solutions
• Excellent verbal, written communication and presentation skills. Good to Have
• Experience in workflow automation and building reusable AI components
• Background in analytics, statistical models, or enterprise data products