| Immediate Hiring for MLops Engineer _ Onsite Bentonville,AR at Bentonville, Arkansas, USA |
| Email: [email protected] |
| Role:MLOPS Engineer Client -UST Location:Onsite(Bentonville,AR) Job Description: Must have skills. Python, Node, Golang, or bash Experience with Seldon core, MLFlow, Istio, Jaeger, Ambassador, Triton, PyTorch, and Tensorflow/TFserving is a plus. Experience with distributed computing and Apache MXNet, CUDA, cuDNN, TensorRT Experience production-level Kubernetes environment (memory/CPU/GPU limits, node taints, annotations/labels, etc.) Tools/Skills ( hands-on experience is a must): Administering Kubernetes. Ability to create, maintain, scale, and debug production Kubernetes clusters as a Kubernetes administrator and In-depth knowledge of Docker. Ability to transform designs from the ground up and lead innovation in system design Deep understanding of data center architectures, networking, storage solutions, and scale system performance 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 Ability to use observability tools (Splunk, Prometheus, and Grafana ) to look at logs and metrics to diagnose issues within the system. Experience with Seldon core, MLFlow, Istio, Jaeger, Ambassador, Triton, PyTorch, and Tensorflow/TFserving is a plus. Experience with distributed computing and deep learning technologies such as Apache MXNet, CUDA, cuDNN, TensorRT Experience hardening a production-level Kubernetes environment (memory/CPU/GPU limits, node taints, annotations/labels, etc.) Experience with Kubernetes cluster networking and Linux host networking Experience scaling infrastructure to support high-throughput data-intensive applications Background with automation and monitoring platforms, MLOps, and configuration management platforms Education & Experience: - 5+ years relevant experience in roles with responsibility over data platforms and data operations dealing with large volumes of data in cloud-based distributed computing environments. Graduate degree preferred in a quantitative discipline (e.g., computer engineering, computer science, economics, math, operations research). Proven ability to solve enterprise-level data operations problems at scale which require cross-functional collaboration for solution development, implementation, and adoption. Thanks & Regards Naga - DC Talent Acquisition Specialist Data Capital Inc., 13800 Coppermine Rd, Suite#143, Herndon, VA 20171 Email: [email protected] | www.Datacapitalinc.com -- Keywords: information technology Arkansas Virginia Immediate Hiring for MLops Engineer _ Onsite Bentonville,AR [email protected] |
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| Tue Oct 08 23:51:00 UTC 2024 |