Job description

MLOps / ML Platform Engineer job description

This MLOps Engineer job description is the spec our practice leads vet against: 6 responsibilities, 6 requirements, 4 nice-to-haves. Copy it, or hire a vetted specialist.

Job description

Read time
1 min
Sections
5
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Remote Pro Ai · AI & Data
  1. Role summary
  2. Responsibilities
  3. Requirements
  4. Nice-to-have
  5. What this role costs, by market

Role summary

We are hiring an MLOps / ML Platform Engineer to build and run the platform that takes our models from experiment to reliable production. You will own model CI/CD, training and inference infrastructure, feature and model registries, and observability. Success means faster, safer releases, controlled GPU spend and full traceability for every model in service.

Responsibilities

  1. Build CI/CD for models and prompts with automated testing and approval gates.
  2. Operate Kubernetes-based training and inference platforms with GPU scheduling.
  3. Implement feature stores, model registries and experiment tracking.
  4. Design model observability: drift, latency, cost and quality dashboards with alerts.
  5. Deliver infrastructure as code with security and compliance controls built in.
  6. Give data scientists templates and self-service tooling for training and deployment.

Requirements

  1. 4+ years in DevOps, platform or ML engineering, including production Kubernetes.
  2. Strong Terraform and CI/CD skills with Argo, GitHub Actions or similar.
  3. Hands-on with MLflow, Kubeflow or comparable model lifecycle tooling.
  4. Model serving with KServe, Seldon or Ray Serve against latency targets.
  5. Monitoring and alerting with Prometheus or an equivalent stack.
  6. Solid Python for automation and pipeline code.

Experience bands offered by Remote Pro Ai (years) Mid 4–⁠6 · Senior 6–⁠9 · Lead 9+

Nice-to-have

  1. CKA, AWS DevOps Professional or Azure DevOps Expert certification.
  2. Feature store experience with Feast or a managed equivalent.
  3. GPU cost optimisation and multi-tenant scheduling.
  4. Platforms delivered on sovereign or in-Kingdom cloud regions.

What this role costs, by market

In-house figures are indicative annual gross salaries for a Senior-level direct hire, before employer costs such as social insurance, medical cover, visas, recruitment fees and equipment. Remote Pro Ai seats are monthly and all-inclusive. Remote Pro Ai’s base monthly rates for vetted Mid, Senior and Lead engineers are at least 30% below the median published by comparable vetted-talent vendors serving the GCC, and 37–⁠47% below the European and US medians (Remote Pro Ai price benchmark, October 2026). Design, marketing, business-development and sales seats are priced at the base band.

Senior level
MarketCur.In-houseannual salarySeatfrom, per monthSeat × 12from, per year
Saudi ArabiaSAR480,00027,400328,800
United Arab EmiratesAED684,00026,900322,800
QatarUSD—17,31087,720
United StatesUSD—17,31087,720
GermanyEUR—16,54078,480
United KingdomGBP93,0005,54066,480

“—” means we do not yet publish an in-house benchmark for that market. Remote Pro Ai pricing is quotation-based; VAT shown separately.

GCC & Egypt Tech Talent Salary & Rate Guide 2026, Remote Pro Ai Research estimates: the midpoint of the Senior monthly gross range × 12. Benchmarks are updated every October. Updated: October 2026.

Skip the hiring cycle

Book a vetted specialist for this role, shortlisted in 48 hours and working in 4 working days.

Frequently asked questions

Yes. The text is free to copy and adapt for your own vacancy, and the DOCX download keeps the formatting. It reflects the specification our practice leads use when they vet specialists for this role, so it doubles as a scope document when you brief stakeholders, recruiters or procurement.

Each responsibility and requirement maps to something we test. Candidates complete a live technical assessment scored by a practice lead, then a client-fit interview and reference checks. 3.4% of applicants pass 5 gates, and only those specialists appear on the shortlists we send.

Pay for the same role varies widely between Riyadh, Dubai and London, and employer costs differ again. Each figure is the annualised midpoint of the Senior range in our Salary & Rate Guide, so you can compare an in-house hire with an all-inclusive Remote Pro Ai seat on equal terms. Your exact Remote Pro Ai price comes from a quotation valid for 30 days.

Often, once employer costs and time-to-hire are counted: there is no placement fee, and the specialist starts within 4 working days instead of after a months-long search for a permanent hire. Remote Pro Ai’s base monthly rates for vetted Mid, Senior and Lead engineers are at least 30% below the median published by comparable vetted-talent vendors serving the GCC, and 37–⁠47% below the European and US medians (Remote Pro Ai price benchmark, October 2026).

Match the level to the scope. Mid specialists deliver well-defined work inside your architecture, Senior specialists own a component end to end, and Leads set direction and run the squad. This role is offered at Mid, Senior and Lead level, and the level line under Requirements shows the bands Remote Pro Ai can staff.