About the role
Experience: 8-12 years
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.