AI Staffing · Core AI engineering
Hire a MLOps / AI Platform Engineer.
Builds the platform AI runs on — model serving, GPU infrastructure, CI/CD for models and prompts, observability and cost controls.
In short
AI Anytime Business places vetted MLOps / AI Platform Engineers on our payroll and into your team within ten days. Builds the platform AI runs on — model serving, GPU infrastructure, CI/CD for models and prompts, observability and cost controls. Rates: junior $20/hour ($2,900/month full-time), mid $40/hour ($5,750/month full-time), senior $58/hour ($8,350/month full-time), lead $78/hour ($11,200/month full-time) — USD, exclusive of tax.
What they do
- Stands up model serving and inference infrastructure
- Automates training, evaluation and deployment
- Adds tracing, monitoring and alerting
- Optimises GPU and token spend
Skills & stack
When to hire
AI workloads are growing and reliability, cost or deployment speed is suffering.
MLOps / AI Platform Engineer rates
| Role | Junior0–2 yrs | Mid3–5 yrs | Senior6–10 yrs | Lead10+ yrs |
|---|---|---|---|---|
| MLOps / AI Platform Engineer | $20/hr$2,900/mo | $40/hr$5,750/mo | $58/hr$8,350/mo | $78/hr$11,200/mo |
USD, Global tier · Nearshore +40% · Onshore +250% · exclusive of tax (18% GST for Indian clients; exports zero-rated under LUT).
How much does it cost to hire a MLOps / AI Platform Engineer?
Through AI Anytime Business, a MLOps / AI Platform Engineer costs junior $20/hour ($2,900/month full-time), mid $40/hour ($5,750/month full-time), senior $58/hour ($8,350/month full-time), lead $78/hour ($11,200/month full-time) — USD, exclusive of tax. These are Global-tier rates; Nearshore delivery adds 40% and Onshore adds 250% per seat.
What does a MLOps / AI Platform Engineer do?
Builds the platform AI runs on — model serving, GPU infrastructure, CI/CD for models and prompts, observability and cost controls. Typical work: stands up model serving and inference infrastructure; automates training, evaluation and deployment; adds tracing, monitoring and alerting; optimises gpu and token spend.
How quickly can a MLOps / AI Platform Engineer start?
Usually within ten days: a 45-minute scoping call, a named proposal with a fit rationale in 48 hours, interviews by day 5 and first commit by day 10. Shortlists arrive within five days.
Is the MLOps / AI Platform Engineer a contractor or an employee?
They are on AI Anytime's payroll. Contracts, payroll tax, benefits, paid leave, laptop, tooling and compliance are covered by us, and you are never billed for leave. Full IP is assigned to you.
What if the MLOps / AI Platform Engineer isn't the right fit?
Every engagement starts with a two-week risk-free trial, and a scored replacement starts within five business days if needed.
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Hire a MLOps / AI Platform Engineer
A named proposal in 48 hours.
Tell us the outcome and your timeline. We'll come back with named people, a fit rationale and a price.