Lead Machine Learning Engineer (mlops, Kserve + Building Kubernetes Clusters, Pytorch, Tensorflow On Aws)

Capital One

Mclean, US
Not specified; not specified; not specified
On-site
Machine learning engineering
Kubernetes cluster building
Kserve deployment
You will be part of an Agile team dedicated to productionizing machine learning applications and systems at scale

Job Summary

  • You will be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
  • The role involves detailed technical design, development, and implementation of ML applications using existing and emerging technology platforms.
  • You are expected to ensure high availability and performance of machine learning applications while continuously applying the latest innovations.

Matching Summary

You will be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • Machine Learning Engineering
  • Kubernetes Cluster Building
  • Kserve Deployment
  • PyTorch Framework
  • TensorFlow Framework
  • AWS Cloud Platform

Nice-to-have

  • Agile Team Collaboration
  • Model Architecture Design
  • High Availability Systems
  • Emerging Technology Platforms
  • Best Practices Application

Key Requirements

  • Experience with MLOps pipelines
  • Proficiency in building Kubernetes clusters
  • Expertise in Kserve for model serving
  • Strong background in PyTorch and TensorFlow
  • Cloud infrastructure experience on AWS

Work Rights

Not specified

Tailored Resume

Cover Letter