Description

JOB DESCRIPTION:

Tools/Skills (hands-on experience is a must):
• programming experience in Python, Node, Golang, or Bash
• experience with Seldon core, MLFlow, Istio, Jaeger, Ambassador, Triton, PyTorch, Tensorflow/TFserving
• experience with distributed computing and deep learning technologies such as Apache MXNet, CUDA, cuDNN, TensorRT
• experience with administering Kubernetes (Cloud (EKS/GKE/AKS) or on-prem Kubernetes (native Kubernetes, Gravity, MetalK8s)), Kubernetes cluster networking, and Linux host networking
• Deploy and configure Kubernetes components for the production cluster, including API Gateway, Ingress, Model Serving, Logging, Monitoring, Cron Jobs
• used observability tools such as Splunk, Prometheus, and Grafana
• In-depth knowledge of Docker
• Background with automation and monitoring platforms, MLOps,and configuration management platforms

Key Skills
Education

ANY GRADUATE

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