About The Role

We are looking for a curious and motivated analyst/engineer to join our Data & AI team. You will work on real-world data pipelines, build and evaluate ML models, and deploy intelligent agentic workflows powered by up-to-date LLM tooling. This is a hands-on, fast-paced role.

Roles and responsibilities

Effective knowledge sharing to researchers, coupled with Gen AI technology upgrading and mentoring

Collect, clean, and transform structured/unstructured data for analysis and model training.

Build and fine-tune ML models (classification, regression, clustering, NLP) using Python.

Develop and test agentic AI workflows using LLM APIs (Claude, GPT-4o, Gemini) with tool use, memory, and planning.

Integrate agents with external tools — search, databases, APIs — using MCP or function calling.

Create PowerBi dashboards, visualisations, and reports to communicate insights to stakeholders.

Evaluate and benchmark LLM outputs; implement prompt engineering and RAG pipelines.

Assist in deploying models and agentic applications to Azure cloud or on-premise environments.

Collaborate with cross-functional teams to understand business requirements and deliver AI-driven solutions.

Educational Qualification

M.E/M.Tech : Multi-disciplinary Engg.



domain with Data Science, Artificial Intelligence, Statistics, or a related field.

Relevant certifications (Azure : Data Analytics, ML Specialty, DeepLearning.AI, etc.) are a strong plus.

A GitHub portfolio demonstrating hands-on projects is strongly preferred over certifications alone.

Nice to Have

Experience building end-to-end agentic applications [ReAct agent, multi-agent system using CrewAI or AutoGen]

Familiarity with MCP server development or custom tool integrations for LLMs.

Contributions to open-source AI/ML projects on GitHub.

Knowledge of LLM evaluation frameworks such as RAG

Exposure to MLOps practices: experiment tracking, model versioning, and CI/CD pipelines.

Soft skills

Solid analytical thinking and problem-solving ability.

Eagerness to learn rapidly evolving AI/ML technologies and frameworks.

Clear written and verbal communication for presenting findings to non-technical stakeholders.

Ability to work independently and collaboratively in an agile team environment.

Intellectual curiosity and a builder's mindset — you like shipping things, not just experimenting.

📌 Data Scientist Ml Ai Python (Chennai)
🏢 Saint-Gobain Group in India
📍 Chennai