Dear *Professional*,
Hope you are doing great today... This is *BABU, BDM FROM PANTAR SOLUTIONS INC*, we are an Information Technology and Business Consulting firm specializing in Project-based Solutions and Professional Staffing Services. Please have a look at below position which is with our Client and let me know your interest ASAP. I would really appreciate if you could send me your *MOST RECENT UPDATED RESUME*: *Role: Machine Learning (ML) Engineer with Kubernetes, Python, CUDA, Seldon Core Exp. * *Location: Bentonville, AR || Day One Onsite* *Duration: 6+ months contract* *ML Ops Infrastructure Engineer in eComm Analytics * *Description: * Client is looking for a highly energetic and collaborative ML Ops Infrastructure 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 Customer'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 platfo *PLEASE NOTE:* If for any reason this does not interest you or you felt uncomfortable by any part of this email, I sincerely apologize. Please consider this E-mail as a request for referrals and feel free in forward this email to anyone whom you might find a fit. *Thanks & Regards,* Babu Pantar Solutions Inc 11605 N Community House Rd, Suite 102, Charlotte NC 28277 E-Mail: [email protected] -- You received this message because you are subscribed to the Google Groups "project managment" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/project-managment/CAHynwgr%3DbMT6KrJ9KfN%3DM0WQCnutXZVL49WNWmuE4RCh22kfow%40mail.gmail.com.
