MLOps Engineer at Remote, Remote, USA |
Email: [email protected] |
From: Sampath (Sam), SPAR Information Systems [email protected] Reply to: [email protected] MLOps Engineer Location: Remote Long Term Client is looking for a highly energetic and collaborative ML Ops Engineer with experience building enterprise solutions on web / cloud platforms. The ideal candidate should have experience with Seldon core, MLFlow, Istio, Jaeger, Ambassador, Triton, PyTorch, Tensorflow/TFserving and Experience with distributed computing and deep learning technologies such as Apache MXNet, CUDA, cuDNN, TensorRT. Have worked on at least one Kubernetes cloud offering (EKS/GKE/AKS) or on-prem Kubernetes (native Kubernetes, Gravity, MetalK8s) Programming experience in Python, Node, Golang, or bash Keywords: machine learning MLOps Engineer [email protected] |
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Thu Oct 10 02:16:00 UTC 2024 |