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Machine Learning Operations Engineer
Posted on 7/20/2022
INACTIVE
Locations
Remote • United States
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Agile
Data Science
Development Operations (DevOps)
Google Cloud Platform
Git
Leadership
SCRUM
Terraform
Requirements
  • Minimum two (2) years of experience in DevOps Engineering or similar roles, with a focus on Machine Learning, Data Science or Artificial Intelligence
  • Demonstrated ability to rapidly acquire new skills and develop working solutions
  • Past experience collaborating with cross-functional teams to drive technical projects to completion
  • Exhibit well spoken and written communication, demonstrate ownership mentality, engage in developer enablement and peer leadership
  • A wide technical background, with a heavy emphasis on Cloud Infrastructure
  • Prior experience with Argo Workflows or Kubeflow Pipelines
  • Prior experience with GCP, Terraform, CircleCI, Spinnaker, GitHub Enterprise
  • Prior experience with Agile Software Development and Scrum methodologies
  • Prior experience operating in a geographically distributed development environment
Responsibilities
  • As a member of the DevOps team, the MLOps Engineer will be responsible for: On-Call Support for Infrastructure Escalations: Once per month, 12 hours x 7 days
  • Tracking and implementing technical solutions during the DevOps Team's bi-weekly Sprints and participating in Sprintly Scrum rituals
  • Identifying (technical, process) bottlenecks within Data / ML / AI teams
  • Partnering with internal stakeholders to develop technical solutions (infrastructure, application, process) based on team requirements and business needs
  • Proposing technical solutions to engineering and business leadershipParticipating in and providing expert opinions during Architecture Review Boards
  • Optimizing general CI / CD pipelines for developers
  • Staying up to date with developments in MLOps, looking for new opportunities to improve our processes and technologies
Flyr

201-500 employees

AI-powered total revenue management software