A comprehensive guide covering talent sourcing, screening, interviewing, compensation, employment models, onboarding, culture building, and retention strategies for building world-class AI/ML teams with LATAM engineers.
Latin America's engineering pool—2 million developers strong and growing—has quietly become one of the world's most undervalued sources of AI and ML talent. Not because they have the fanciest degrees, but precisely because they don't rely on them.
If you're hiring ML + GenAI talent from LATAM, the right questions reveal everything — technical depth, product thinking, ownership, and reliability. These interview questions help you identify the best builders fast.
LATAM has quietly become one of the strongest regions in the world for AI/ML talent — especially for teams building GenAI products. This guide breaks down how to hire the right ML Engineer with GenAI experience specifically from LATAM.
Latin America has emerged as a formidable global talent hub for ML and GenAI, driven by explosive talent growth (285%), significant cost advantages (30-70%), perfect time zone alignment, and 220,000+ annual STEM graduates.