| Tomorrow Interview || Machine Learning Engineer || Full Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Rahul Kumar, SPAR Information Systems [email protected] Reply to: [email protected] Hello Folks, Hope you all are doing good. Please go through the Job description and let me know your interest. Title: Machine Learning Engineer Work Location: Full Remote Duration: Long Term Contract The ideal candidate should have experience with Seldon core, MLFlow, Istio, Jaeger, Ambassador, Triton, PyTorch, Tensorflow/TFserving (is a plus) and Experience with distributed computing and deep learning technologies such as Apache MXNet, CUDA, cuDNN, TensorRT. Design and implement different flavors of architecture to deliver better system performance and resiliency. Develop capability requirements and transition plan for the next generation of AI/ML enablement technology, tools, and processes to enable Walmart to efficiently improve performance with scale. Tools/Skills (hands-on experience is 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 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, 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. Contact: Rahul Kumar Sr Technical Recruiter Direct No: 469-829-4899 / Desk No: 469-409-0307 Ext: 338 Cell No: 936-304-8292 Email: [email protected] Keywords: artificial intelligence machine learning golang |
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| Wed Feb 22 00:43:00 UTC 2023 |