The Role : We are looking for an experienced AI Engineer to design, build, and operationalize AI driven solutions for our global Analytics organization.The ideal candidate will have strong hands-on expertise in Python, PySpark, agentic workflow development, and modern GenAI frameworks, with experience building scalable applications using LLMs, retrieval systems, and automation pipelines.You will work closely with data scientists, MLOps engineers, and business stakeholders to build intelligent, production grade systems that power next generation analytics and decisioning capabilities - aligned with the organization's GenAI roadmap.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.MLOps / LLMOps : - Contribute to CI/CD workflows for AI models - deployment, testing,



monitoring.- Collaboration & Stakeholder Engagement : - Work with analytics, product, and engineering teams to define and deliver AI solutions.- Support knowledge sharing and internal GenAI capability building.Key Requirements : - 7+ 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.- Good to Have : - Experience in workflow automation and building reusable AI components.- Background in analytics, statistical models, or enterprise data products.- Experience with MLOps / LLMOps tooling (ref:hirist.

📌 Senior Data Scientist (AI/ML) (Chennai)
🏢 Dun & Bradstreet
📍 Chennai