Develop autonomous agents for data validation, reporting, document processing, and domain workflows

Deploy scalable, resilient agent pipelines with monitoring and evaluation

Partner with data scientists to productionize POCs

Data & Platform Engineering

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.

Contribute to CI/CD workflows for AI models-deployment, testing, monitoring

Work with analytics, product, and engineering teams to define and deliver AI solutions

Support knowledge sharing and internal GenAI capability building.

8-12 years of experience in AI/ML engineering, data science, or software engineering, with atleast 2 years focused on GenAI

~ Solid 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

~ 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

~ Experience in workflow automation and building reusable AI components

~ Background in analytics, statistical models, or enterprise data products

~ Experience with MLOps / LLMOps tooling

📌 Marketing Data Scientist (Chennai)
🏢 Dun & Bradstreet India
📍 Chennai