Data Scientist

About the role

You will design, develop, and deploy end‑to‑end analytics, machine learning, and GenAI solutions , working with large‑scale structured and unstructured data. The role balances classical ML and statistical modeling with modern LLM‑based architectures , ensuring both approaches are applied where they create the most value.

What you'll do

• Design, develop, and deploy end‑to‑end analytics, machine learning, and GenAI solutions , working with large‑scale structured and unstructured data
• Translate business objectives into well‑defined analytical and mathematical problem statements
• Design, implement, train, tune, validate, and monitor predictive and prescriptive models
• Analyze large, high‑dimensional datasets to identify patterns, drivers, anomalies, and trends
• Develop scalable analytics pipelines and reusable modelling frameworks suitable for automation and production deployment

What you need

• 5–9 years in data science & ai
• Machine learning
• SQL
• LLMs
• Python
• Pandas
• Scikit-learn
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• NLP
• Deep learning
• Prompt engineering
• NumPy
• TensorFlow
• PyTorch