Description:
Must have extensive experience in ML serving and infrastructure. Proven track record in designing and deploying ML systems in production environments. Strong expertise in deep learning ML frameworks (TensorFlow, PyTorch). Experience in model serving technologies (TensorFlow Serving, NVIDIA Triton, KServe). Advanced proficiency in container orchestration, with hands-on experience in Kubernetes. Knowledge of cloud platforms (AWS, Google Cloud Platform, Azure) and their ML-related services. Deep un
Mar 13, 2025;
from:
dice.com