Nearshore tech talent

Hire an MLOps Engineer in LATAM. Save an estimated 63%.

MLOps Engineers run the pipelines, monitoring and infrastructure your machine learning models depend on. They make model releases repeatable, observable and safe.

Time zone overlap
English-speaking
Recommendation in 7 days

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The role

What an MLOps Engineer does.

An MLOps Engineer brings DevOps practices to machine learning. They automate how models are trained, tested, released and monitored, so data scientists can ship improvements without breaking production. Teams usually bring one in when they have several models in production and releases have become slow or risky.

Typical responsibilities

Build CI/CD pipelines for training, testing and deploying models.
Manage model registries, versioning and reproducible experiments.
Set up monitoring for model quality, data drift, latency and cost.
Run training and serving infrastructure on Kubernetes or managed ML platforms.
Automate data validation and retraining workflows.
Apply security, access control and audit trails to ML systems.
Help data scientists and engineers ship models faster and more safely.

Skills & technologies

Languages

Python
Bash
SQL

ML platforms

MLflow
Kubeflow
SageMaker
Vertex AI
Databricks

Orchestration

Airflow
Argo
Prefect

Infrastructure

Docker
Kubernetes
Terraform

Cloud & monitoring

AWS
Google Cloud
Azure
Prometheus
Grafana

Nearshore staffing for U.S. companies

Build your tech team in LATAM. Pay 50–70% less.

The best candidates in tech and AI, hand-picked for your role and supported by a founder-led boutique.

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This could be your next tech team.

5 countries · 1 team

01
Team Lead
Florencia Echeverría
Tech Lead
Argentina
02
Lucas Almeida
Full-Stack Developer
Brazil
03
Camila Pereyra
AI Engineer
Uruguay
04
Santiago Restrepo
Data Engineer
Colombia
05
Tomás Fuentes
QA Automation Engineer
Chile

Built around your role, your stack and your goals.Build a team like this

Two ways to hire

Managed Talent or Direct Hire?

Both include our search and our recommendation. The difference is who runs the relationship after the hire.

Our main service

Managed Talent

Build or grow a team. We run the staffing around it.

Best forBuilding or growing a team
How you payOne all-in monthly invoice
Hiring setupWe coordinate it, plus payments
Ongoing supportIncluded
ReplacementsFor as long as you work with us

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One-time search

Direct Hire

We find your next hire. You hire them directly.

Best forA single role, remote or on-site
How you payOne-time fee, from 12.5% of annual salary
Hiring setupYou hire and manage directly
Ongoing supportYou run the relationship
Replacements180-day guarantee

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Your first call is with Germán or Agustina.

You work directly with us, from the first call to the day your team starts.

Germán Gioffre, Founder & CEO
Agustina Franzi, Founder & COO

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