0–60%
Cost Savings vs US Rates
0–10 Days
Avg. Time to First Slate
0%
Retention Rate
What We Look For
The CRB+ standard for nearshore talent
- Applied ML experience — has deployed models to production, not just research notebooks
- Strong Python and ML framework depth: PyTorch, TensorFlow, or JAX
- MLOps experience: model versioning, monitoring, and retraining pipelines
- Clear English communication about model tradeoffs and performance
Why Nearshore Is Different
AI/ML engineers who build, not just research, are competitive hires everywhere. In Latin America, top universities in Brazil, Argentina, and Colombia are producing genuinely world-class ML talent — CRB+ knows how to find them.
Our Approach
We differentiate researchers from builders. If you need someone to ship product, we won't send you a research-focused engineer who's only worked in notebooks. Same standard, different geography.
FAQ
Common Questions About Nearshore ML/AI Engineers
What is the hourly rate for a nearshore Nearshore ML/AI Engineer?+
Nearshore Nearshore ML/AI Engineer rates through CRB Workforce typically range from $65–$100/hr, representing significant cost savings compared to onshore U.S. contractors while maintaining strong technical quality. Rates vary based on experience level and the specific technology requirements of your engagement.
How do nearshore Nearshore ML/AI Engineers compare to domestic hires?+
Nearshore Nearshore ML/AI Engineers often deliver comparable technical output to onshore talent at 40–60% lower cost. CRB's nearshore candidates are English-proficient, experienced working with U.S. teams, and vetted through the same process as our domestic placements. The primary consideration is time zone overlap — most of our nearshore talent is located in Latin America, offering 2–4 hour overlap with U.S. business hours.
What time zones do your nearshore Nearshore ML/AI Engineers work in?+
Our nearshore talent is primarily based in Mexico, Colombia, Argentina, and Brazil. Depending on the country, they overlap with U.S. Eastern or Central time for most or all of the business day. We specifically avoid candidates where timezone gaps would create meaningful communication friction.
How quickly can I staff a nearshore Nearshore ML/AI Engineer?+
Nearshore placements are often faster than domestic searches due to the size of the available talent pool. Most clients see a qualified shortlist within 5–7 business days, and nearshore contractors can typically start within 2 weeks of offer acceptance.
More Nearshore Roles We Place
Ready to Hire a Nearshore ML/AI Engineer?
Visit CRB+ to learn more, or get in touch with our team to start a search today.