One MLOps engineer's capacity, on your product.
MLOps Engineer capacity for models in production — deployment, monitoring, retraining and the platform underneath.
Assigned under one service agreement with a minimum monthly capacity in hours, run by a service delivery manager in Chiang Mai, Thailand — five hours ahead of Northern Europe.
This role is delivered as part of our mlops engineering services. Take the role on its own, or the whole discipline as one delivery team.
Open mlops engineering services →One MLOps engineer's capacity, working on your product.
Skills and scope are agreed before delivery starts, so the first sprint is productive rather than a ramp-up month. The work runs to the same backlog, the same repositories and the same definition of done as your own team's.
- Deployment pipelines
Models shipped to production the same way code is.
- Monitoring and drift
Performance, drift and data quality watched after release.
- Retraining
Scheduled or triggered retraining with versioned artefacts.
- Platform work
Feature stores, registries and the tooling around them.
Questions about this role.
Can I choose the seniority level?
Yes. Junior through principal MLOps engineers are available, priced by level. We'll recommend a level based on the scope you share before delivery starts.
What if the stack isn't listed above?
Tell us what you use. The list above is what we see most often, not a limit — we'll confirm fit for your exact setup at scoping.
Can I add a second MLOps engineer later?
Yes, at the next monthly cycle. Capacity moves with your roadmap rather than locking you into the original scope.
Who owns the infrastructure and code the MLOps engineer writes?
You do. Work happens in your repositories, under your license terms, from the first commit.
Add MLOps engineer capacity to your roadmap.
Tell us the scope and the stack. We come back with the profile, the capacity and what the first month looks like.
Tell us what you are looking for.
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