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saint-gobain group in india

DATA SCIENTIST

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  • Posted 2 days ago
  • Over 50 applicants

Job Description

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 modern 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

  • Strong 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.

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Job ID: 148624133

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