Data & platform
Hire a dedicated MLOps Engineer
MLOps is what keeps models reliable, observable and affordable once they're live. Talveda places vetted MLOps engineers as dedicated, full-time members of your team — building the CI/CD, deployment and monitoring rails that make AI production-ready. You manage the work; we handle sourcing, vetting, employment and compliance.
KubernetesDockerMLflowTerraformCI/CD
What they do
What a Talveda MLOps Engineer delivers
- Build CI/CD pipelines for training, deployment and rollback of models
- Containerise and orchestrate model serving (Docker, Kubernetes)
- Set up monitoring, drift detection, alerting and cost controls
- Manage infrastructure as code and reproducible environments
- Partner with ML engineers to make models reliable at scale
When to hire
Is now the right time?
- Your models work but deployment and monitoring are ad-hoc
- You need to scale ML reliably without ballooning cloud cost
- You want senior MLOps talent faster and cheaper than onshore
- You need a dedicated platform specialist embedded long-term
The Talveda difference
Dedicated, vetted, and managed by you
🎯
AI-only vetting
Screened for real MLOps Engineer ability — not a generic coding test with an "AI" label.
🤝
Embedded full-time
One dedicated specialist on a 12-month minimum, managed day-to-day by you.
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Cost & time-zone fit
50–75% below onshore, with US & Australian working-hour overlap.
FAQ
MLOps Engineer — your questions
What tools do your MLOps engineers use?
We match to your stack — common ones include Kubernetes, Docker, MLflow, Terraform, and the major cloud AI platforms — and vet for hands-on experience.
Can they own our whole ML platform?
Yes, depending on scope. Many clients embed an MLOps engineer to own the deployment and monitoring layer end-to-end.
Is this a long-term role?
Yes — a dedicated full-time engagement with a 12-month minimum, so platform knowledge stays in your team.
Build your AI team
Ready to meet your AI specialists?
Tell us the role you need. We'll shortlist vetted, dedicated AI talent — embedded full-time, managed by you.
Book a discovery call