Senior MLOps Engineer
- Time to fillFrom the first call to the signed offer
- 26 days
- Level
- Senior
- Area
- MLOps
- Candidates reviewed
- 8
About the client
Protectimus builds multi-factor authentication for businesses, in the cloud and on-premise. They were looking for a Senior MLOps Engineer to automate how their ML models are trained, validated and deployed: four or more years in DevOps or MLOps, at least three of them on ML infrastructure, confident work with Python, Kubernetes, Bash and Linux, and ease in a small, fast team.
How we searched
The search began with a technical call to agree what the role really needed. From there we reported every week, and Protectimus had its first eight screened candidates less than a week in.
The result
Protectimus hired its Senior MLOps Engineer in 26 days from 8 candidates. The new engineer has since reworked the way models reach production and how they are watched once they are there.
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