Description

You Are

Sr. MLOps Engineer

The Opportunity

 

  • Take full end-to-end responsibility of MLOps tasks and specifically in the Algo Group (defines end to end MLFlow and automation processes for various products).
  • Work closely with development teams to design and create & enhance the CI architecture to improve shift left scalability, service reliability, cost, developer experience and performance.
  • Provide strategic solution for models testing deployment and maintenance

     

What You Need

 

  • 5+ years’ experience as DevOps Engineer supporting large scale CI/CD tooling.
  • 3+ years’ experience as python script development and working knowledge with pip
  • 2 + year experience Clear ML, Python, Grafana, ELK, Azure cloud, K8
  • Good understanding and working knowledge in GPU based development and operations
  • Experience with different CI flows and best practices on Windows and Linux
  • Basic experience with Linux administration and debugging
  • Experience with builds and deployment systems (Gradle)
  • Working with DevOps tools such as BitBucket, Jenkins, Gradle, Nexus, Artifactory
  • Understanding of MLOps methodologies, tools, and processes
  • Ability to write documents specs, maintenance procedures.
  • Excellent communication skills
  • Bachelor's degree or equivalent experience

     

Bonus Points If

 

  • Good understanding of SRE, Automation tools and shell scripting
  • Able to bring new APM capabilities for AI/ML based applications.

Key Skills
Education

Any Graduate

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