Full-time ML engineers from Latin America who put models into production, not just notebooks. 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 ->A model that performs well in a notebook and a model that performs well in production are different achievements. The gap is where most ML projects die.
What ML engineers actually do
Feature pipelines, training, evaluation, deployment, and monitoring that catches drift. The engineering half is usually larger than the modeling half. Production ML, not a research scientist.
Different from a data scientist
Data scientists investigate. ML engineers make it run reliably at scale. Many teams hire the first and then wonder why nothing reached production.
Why Latin America
Strong STEM education. Because the field moved fast, engineers in LATAM started at the same time as everyone else.
English tested before you meet them
Every engineer is evaluated for English before you see a profile.
Transparent pricing
A mid-level AI or machine learning engineer in the United States starts around $14,200 per month (Robert Half, 2026). ML engineers with Teilur start at $5,150 all-in for mid-level. You pay this; 20% is our fee and 80% goes to the engineer. No subscription.
Tell us what you need and get a curated shortlist of pre-vetted candidates in about five days.