High Priority Position: Machine Learning Engineer II at AR (Day One Onsite)
Babu S
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:
Job Title: Machine Learning Engineer II
Location: Bentonville, AR
Duration: 9 Months Contract
Job Description: Notes :: 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.UST Global® is looking for a highly energetic and collaborative ML 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.Tools/Skills (hands-on experience is must):• programming experience in Python, Node, Golang, or Bash• experience with Seldon core, MLFlow, Istio, Jaeger, Ambassador, Triton, PyTorch, Tensorflow/TFserving• experience with distributed computing and deep learning technologies such as Apache MXNet, CUDA, cuDNN, TensorRT• experience with administering Kubernetes (Cloud (EKS/GKE/AKS) or on-prem Kubernetes (native Kubernetes, Gravity, MetalK8s)), Kubernetes cluster networking and Linux host networking• Deploy and configure Kubernetes components for production cluster, including API Gateway, Ingress, Model Serving, Logging, Monitoring, Cron Jobs• used observability tools such as Splunk, Prometheus, and Grafana• In-depth knowledge of Docker• Background with automation and monitoring platforms, MLOps ,and configuration management platforms
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.