Dedicated MLOps Engineers
Flexible MLOps Hiring Models
Simple & Transparent Pricing
Strict Security & Compliance
Faster Remote Resource
Transparent Reporting & Collaboration
Solid Infrastructure & Tooling
Dedicated Resources/ Team Hiring
160 Hours of full time
Fixed Cost
Time & Resources Based (Pay As You Go)
Contact VOCSO, share your ML stack, models, and goals, interview the shortlisted MLOps engineers, and onboard the ones that fit best. Many engagements begin with a pipeline or deployment assessment and can start within days.
An MLOps engineer takes machine learning models to production and keeps them healthy — building automated training and deployment pipelines, serving models, tracking experiments, monitoring performance and drift, and managing the cloud infrastructure that runs it all.
Cost depends on the engineer's experience, the hours required, and your engagement model. Dedicated resources often start around $1800/month — with cloud and compute usage billed separately, which we help you estimate and optimize. Contact us for an accurate quote.
They work with Docker, Kubernetes, MLflow, Airflow, Kubeflow, and Terraform, CI/CD tools like Jenkins, GitHub Actions, and GitLab, and cloud ML platforms on AWS, Azure, and GCP — plus monitoring and observability tooling for models in production.
MLOps applies DevOps principles to machine learning, but adds ML-specific concerns — data and model versioning, experiment tracking, model monitoring, and retraining for drift — that traditional DevOps doesn't cover. We can provide MLOps, DevOps, or a combined team.
Yes. Our engineers can take models your team has already built, containerize and deploy them, set up serving and scaling, and add monitoring and alerting so you catch performance and drift issues before they affect users.
Absolutely. We build automated CI/CD pipelines for machine learning that test, validate, and deploy models reliably, with reproducible, versioned workflows so every change is traceable and every deployment is repeatable.
We set up monitoring to detect data and model drift, define thresholds and alerts, and build automated or scheduled retraining pipelines so your models stay accurate as real-world data changes over time.
VOCSO offers a 15-day replacement guarantee. If an MLOps engineer isn't the right fit, request a replacement within 15 days and we will assign a better-matched engineer.
Both. You can hire an individual MLOps engineer or a full dedicated team — including ML and platform engineers and a project manager — depending on the scope of your project.
Yes, VOCSO offers a free consultation to review your ML workflows and infrastructure, assess gaps, and recommend the right MLOps approach, tooling, and engagement model for your project.
