Full-time MLOps engineers from Latin America who make model deployment routine instead of an event. Shortlist in about 5 days. Flat 20% of what you pay.
Explore complementary roles that are often hired together for greater impact.
Four steps from first call to onboarded team member. No hidden fees at any point.
See how it works ->The median data scientist in the United States earns about $10,000 per month (BLS, May 2025), and infrastructure specialists who can operate models command similar. MLOps engineers with Teilur start at $5,150 all-in.
What MLOps engineers actually do
They own everything between a trained model and a reliable prediction: deployment pipelines, model and data versioning, reproducible training runs, serving infrastructure, and the monitoring that catches drift before a customer does. Their success looks like nothing happening.
Why this role decides whether AI works at your company
Most machine learning that fails commercially does not fail at the modelling stage. It fails because retraining is manual, nobody can reproduce what shipped, and the first sign that a model degraded is a complaint. This is the role that removes those failure modes, and it is usually the last one teams think to hire.
Different from a DevOps engineer
DevOps engineers ship code, which behaves the same way given the same input. Models degrade quietly as the world changes around them, so the pipeline has to account for data, versions and drift as well as deployments. A strong DevOps engineer will not automatically cover this.
Why Latin America
DevOps and cloud infrastructure are among the deepest specializations in the region, with large certified communities across AWS, Azure and GCP. MLOps builds directly on that foundation.
English tested before you meet them
This role coordinates between data scientists, engineers and operations. We evaluate English before you see a profile.
Transparent pricing
MLOps engineers start at $5,150 all-in for mid-level. You pay this; 80% goes to the engineer and 20% is our fee. No subscription.
Tell us what you need and get a curated shortlist of pre-vetted candidates in about five days.