| MLOps Infra Engineer@Bentonville, Arkansas OR Remote at Remote, Remote, USA |
| Email: [email protected] |
| MLOps Infra Engineer Location: Bentonville, Arkansas OR Remote Number of days onsite - 2 Must Have Skills Kubernetes (On Prem/Cloud) 5+ Yrs of Exp Docker 5+ Yrs of Exp Programming Lang (Python, Node, Golang, or bash) 5+ Yrs of Exp (At least 2) Seldon core, MLFlow, Istio, Jaeger, Ambassador, Triton, PyTorch, Tensorflow/TFserving or similar tools ( 4 of these) 4+ Yrs of Exp Good To have Skills At least 2 from below skills distributed computing and deep learning technologies such as Apache MXNet, CUDA, cuDNN, TensorRT Mandatory if Applicable Domain Experience (If any ) Retail If Yes provide dates , details of account/project Looking for someone who progressed from Developer to this Admin or Infra engineer. We are not looking candidate from Data Scientist background. UST Global 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. The candidate should be a proven self-starter with demonstrated ability to make decisions and accept responsibility and risk. Excellent written and verbal communication skills with the ability to collaborate effectively with domain experts and IT leadership team is key to be successful in this role. We are using Kubernetes (K8) for their MLOps pipeline orchestration, and this is a powerful and intricate system that involves many moving parts and requires knowledge of related technologies such as Docker, container networking, load balancing, and more. Hands-on practice is essential, as it requires deploying and managing containerized applications, creating Kubernetes objects, configuring networking and storage, and troubleshooting issues that arise in the system. Key Responsibilities: Work with Walmart's AI/ML Platform Enablement team within the eCommerce Analytics team. The broader team is currently on a transformation path, and this role will be instrumental in enabling the broader team's vision. Work closely with data scientists to help with production models and maintain them in production. Deploy and configure Kubernetes components for production cluster, including API Gateway, Ingress, Model Serving, Logging, Monitoring, Cron Jobs, etc. Improve the model deployment process for MLE for faster builds and simplified workflows Be a technical leader on various projects across platforms and a hands-on contributor of the entire platform's architecture System administration, security compliance, and internal tech audits Responsible for leading operational excellence initiatives in the AI/ML space which includes efficient use of resources, identifying optimization opportunities, forecasting capacity, etc. 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. 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. 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. We are using Kubernetes (K8) for their MLOps pipeline orchestration, and this is a powerful and intricate system that involves many moving parts and requires knowledge of related technologies such as Docker, container networking, load balancing, and more. Hands-on practice is essential, as it requires deploying and managing containerized applications, creating Kubernetes objects, configuring networking and storage, and troubleshooting issues that arise in the system Comments for Suppliers: Tensorflow,TFServing,Cuda Additional Skills: Istio,Ambassador,Seldon Core,Triton Warm Regards, Bhaskar kumar | Senior Recruiter 3S Business Corporation [email protected] 16700 HOUSE HAHL RD BLDG 6B, Cypress, TX-77433 An E-Verified Company To be removed from our mailing list reply with " [email protected] " and include your "original email address/addresses" in the subject heading. Include complete address/addresses and/or domain to be removed. We will immediately update it accordingly. We apologize for the inconvenience if any caused. Please consider the environment before printing this email. Go Green -- Keywords: artificial intelligence machine learning information technology golang Texas |
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| Tue Jan 16 20:57:00 UTC 2024 |