Senior Data Scientist

About the role

This role is designed for an experienced practitioner who can lead end-to-end ML initiatives, mentor junior team members, and partner with business and engineering stakeholders to translate complex problems into production-grade data science solutions.

What you'll do

• Design, research, implement, and evaluate machine learning solutions spanning traditional ML, deep learning, NLP, and LLM/GenAI applications
• Build and fine-tune models — from gradient-boosted trees and classical statistical models to transformer-based architectures and retrieval-augmented generation (RAG)…
• Develop and optimize prompts, evaluation frameworks, and guardrails for LLM-powered applications
• Engineer scalable data and ML pipelines in Databricks using PySpark, Delta Lake, and MLflow
• Deploy, monitor, and maintain models in production on Azure (Azure AI Foundry, Azure OpenAI, Azure Functions, AKS), including CI/CD, model versioning, and drift detection

What you need

• 5–9 yrs of experience
• Machine learning
• LLMs
• MLOps
• Python
• Scikit-learn
• Pandas
• PhD or B.Tech or B.E. or B.Sc or BCA

Good to have

• Data privacy
• Docker
• Kubernetes
• Spark
• Deep learning
• NLP