Manager - Data Science

Hands-on AI & ML Development:

• Build, train, and deploy ML models from classical techniques (Classification, Regression, Forecasting) to advanced deep learning, LLMs, and Generative AI.
• Perform feature engineering, statistical analysis, and model tuning to enhance predictive capabilities.
• Work with big data tools (Hadoop, PySpark, Hive) to process large datasets efficiently.
• Develop AI-driven solutions tailored for industries like Retail, CPG, BFSI, Healthcare, and eCommerce.
• Optimize and automate machine learning pipelines for scalable deployment.

End-to-End AI/ML Deployment:

• Own the full ML lifecycle, from development to deployment and monitoring.
• Collaborate with Data Engineering teams to build production-ready ML pipelines.
• Work with cloud platforms such as <...