In-house feel, nearshore
MLOps Developers
Hire MLOps engineers who move fast, streamlining your ML lifecycle, CI/CD, and model deployment pipelines. Cloud Employee embeds nearshore MLOps developers directly into your data and engineering teams, building robust, production-grade ML systems that scale.
- Experts in ML lifecycle and model deployment
- Fluent in CI/CD, containers, and ML infrastructure
- Timezone-aligned, embedded engineers for seamless collaboration
Scalable ArchitectureSecurity and Reliability
Our Service
Vetted MLOps Engineers, Embedded in Your Team
Every MLOps engineer we hire goes through a CTO-led vetting process with live pair programming, testing collaboration, deployment, and CI/CD automation. They integrate directly into your data and engineering stack, aligning with your sprint cycles and strategy.
- Access to MLOps engineers in LATAM, the Philippines, and Europe
- CTO-led vetting with live pair programming and real project tests
- Retention, HR, and onboarding fully handled by Cloud Employee
Retention, HR, and onboarding fully handled by Cloud Employee
MLOps Engineering Expertise
- Automate ML pipelines using Kubernetes, Docker, MLflow, and Jenkins for continuous integration and deployment.
- Infrastructure AutomationBuild reproducible ML environments with Terraform and cloud-native IaC best practices.
- Monitoring and GovernanceImplement observability, model drift detection, and compliance using Prometheus and EvidentlyAI.
- Collaboration and VersioningManage datasets and experiments using DVC, Git, and GitHub Actions for full traceability.
- Scalable ArchitectureDesign cost-efficient, reliable ML infrastructure optimized for training and inference workloads.
- Security and ReliabilityDeploy hardened systems with access controls, rollback, and model validation.
The alternative
Get speed, fit and in-house feel without the hiring grind.
Solid lime = yes · outline lime = partial · grey dash = no
Why Cloud Employee?
MLOps Developers Who Feel In-House
We’re your nearshore engineering partner, embedding vetted MLOps developers who align with your ML and data workflows. Supported by HR, L&D, and retention teams, they deliver scalable, production-ready infrastructure and automation.
- Direct reporting and timezone alignment
- Full HR, retention, and compliance handled end-to-end
- One transparent monthly fee, zero hiring pain
Not Just Developers—A Whole Operation
Our HR, technical and success teams support delivery from day one.
Fully supported
We handle the rest so your engineers can focus on building.
Performance reviews
Payroll & complianceEquipment
Workspace
In-house, without the friction
No upfront fees. No lock-in contracts.
- No placement or upfront fees
- Rolling 30-day contract, cancel anytime
- One monthly rate, everything included
What role are you hiring for?
Pick one to start - you'll see matching engineers at the end.
- 300+ teams built
- 97% stay 2+ years
- Replace if it isn't working
Got questions?
The questions CTOs and founders ask.
Proof, not promises
Hear from our customers
In their words