DATA SCIENTIST

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.