Experience: 8-12 years Job Description: This is a Senior Data Science role, requiring strong hands-on expertise along with leadership capability. The candidate must have experience building and scaling large, production-grade AI/ML systems in complex environments. The ideal profile should include: • Strong foundation in Machine Learning, Deep Learning, and Statistics • Hands-on experience with Python, TensorFlow and PyTorch • Experience working on large-scale data systems and Big Data stack • CI/CD implementation for ML systems • Kubernetes, Docker • MinIO, Trino, Feature Store architecture • GPU computing, CUDA, and NVIDIA stack • Strong SQL expertise • Federated AI architecture knowledge • System design experience focusing on latency, scalability, and observability • Exposure to LLMs and Agentic AI systems This role requires someone capable of designing and delivering end-to-end AI systems from data engineering and feature design to model deployment, scaling, and monitoring.