Job Description

We are looking for Junior DevOps/ML Ops Engineer to join us in bringing our vision to life. As an early member of the team, this is a great opportunity to be a prominent contributor to shape the future of the company.

What you`ll do:
" Manage the infrastructure that enables our machine learning development cycle
" Write tools and applications to support product and technology development
" Work with ML and SW engineers to ensure successful deployments of new trained models

We don`t believe in "the ideal candidate". We are looking for some of these to describe you:
" Bachelor and/or Master degree in computer science or equivalent field
" Experience with cloud technologies such as: GCP, AWS, Docker, Kubernetes, Kubeflow
" Worked on building a delivery pipeline across fast-growing team
" Employing best practices when it comes to Continuous Integration and Deployment (CI & CD)
" Basic understanding of immutable instances and Infrastructure as Code
" Demonstrated self-motivation and willingness to dive into complicated DevOps challenges
" Job titles in the modern workplace vary. If you are a DevOps, ML Ops or backend/cloud SW engineer, do get in touch.