· At least 7 years of professional experience in machine learning infrastructure, cloud computing, and deep learning.
· Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), including their machine learning services and infrastructure as code tools.
· In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and optimization techniques for model deployment.
· Proficiency in containerization and orchestration tools (Docker, Kubernetes)
Any Graduate