Data Scientist

About the role

We are looking for a hands-on, algorithm-strong ML/DL leader who can own and drive high-impact AI initiatives in Product Development (PD)—from data strategy to model development, validation, and deployment.

What you'll do

• Algorithmic Model Ownership (Core ML/DL)
• Design and implement ML/DL architectures for structured and time-series data: gradient boosting, deep sequence models, representation learning, multi-modal learning
• Apply rigorous model evaluation, error analysis, and experimental design, especially for peak/rare-event behavior common in physical systems
• Build interpretable and physics-aware ML where needed (feature constraints, monotonicity, hybrid models)
• Time Series & Signal Processing (Preferred)

What you need

• 3–5 yrs of experience
• Machine learning
• Python
• Scikit-learn
• Pandas
• Deep learning
• MLOps
• B.Tech or B.E. or M.Tech

Good to have

• AWS
• PyTorch
• TensorFlow
• NumPy
• GCP
• IoT