Hire Top AI & Machine Learning Talent in LATAM
Access pre-vetted ML engineers, data scientists, NLP specialists, and AI infrastructure talent from LATAM — in your timezone, ready to ship in under 2 weeks.
LATAM countries
Argentina
Brazil
Mexico
Colombia
ChileAI Roles
AI hiring · All functions
Everything you need to hire AI talent in LATAM
From ML engineers to AI product managers — one partner for all your AI hiring needs across every function and LATAM market.
Every function an AI team needs
ML engineering, data science, NLP, computer vision, MLOps, AI product — we recruit across every department in the AI ecosystem.
AI talent across 12+ countries
LATAM produces world-class AI researchers and engineers. Hire from Argentina, Brazil, Mexico, and 10+ more markets — all timezone-aligned.
Full suite of AI hiring solutions
From contingency search to RPO, executive search to staffing — every hiring model tailored for AI and machine learning companies.
Why hire in LATAM for AI
Click on any card to learn more about the LATAM advantage.
World-class AI research universities
Brazil's USP, Argentina's UBA, and Mexico's UNAM produce top-tier ML researchers. Many LATAM AI engineers publish at NeurIPS, ICML, and CVPR — bringing cutting-edge knowledge to your team.
Timezone overlap with US teams
LATAM time zones (GMT-3 to GMT-6) give you 6–8 hours of real-time overlap — critical for ML experiment iteration, model review, and production debugging that can't wait for async handoffs.
Deep Python & ML framework expertise
LATAM's AI talent pool is fluent in PyTorch, TensorFlow, Hugging Face, and modern LLM stacks. Many engineers have open-source contributions to major ML libraries and frameworks.
60–70% lower than US AI salaries
A senior ML engineer earns $5,000–$9,000/month in LATAM vs $15,000–$25,000 in the US. Same caliber of talent, published research, production experience — fraction of the cost.
Growing GenAI & LLM specialisation
LATAM developers were early adopters of GPT APIs and LLM tooling. Many have production experience with RAG pipelines, fine-tuning, prompt engineering, and LLM evaluation at scale.
Strong data engineering foundations
AI teams need solid data infrastructure. LATAM has deep talent pools in Spark, Airflow, dbt, and cloud-native data stacks — meaning your ML engineers will have strong data partners.
Your trusted AI recruitment partner in LATAM
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LATAM countries
From LLM fine-tuning to computer vision — we recruit specialist AI talent who ship production models.
How we find your perfect hire
Candidate funnel
/1 — Discovery Brief
We start every search with a detailed intake session to understand your role inside and out.
- Tech stack, seniority, and team structure
- Culture, working style, and timezone requirements
- Compensation benchmarks for LATAM markets
- Success criteria and interview process design
Hiring shouldn't be this hard
Sound familiar? Click on any card to see what it really costs you.
GENTY vs hiring AI talent in LATAM alone
Compared to LinkedIn outreach, AI job boards, or generalist recruiters, GENTY delivers pre-vetted ML talent faster and with built-in guarantees.
Top-rated on Clutch and G2 for quality, transparency, and results
Trusted by global startups and enterprises building teams in LATAM
5-star client satisfaction, verified by Clutch
What our clients say
Daniel Maloney
CEO, Tailwind
Their communication was also strong, and they made the whole hiring process feel less stressful. GENTY helped us reduce hiring time and quickly filled roles with high-quality candidates who matched the required skills.
Bob Karlseng
CEO, Title Company
They knew the type of experience and temperament needed for the roles.
Kara Banosian
CMO, Stavvy
They did not simply post resumes; they provided us with candidates who were a real fit, saving us time and effort in the hiring process.
Matt Martin
CTO, Tech Startup
GENTY recruitment helped us quickly find software engineers. Their team was proactive and made scheduling effortless.
Paul Rees
CEO, Spikr
The best thing about GENTY Recruitment was that they really comprehended our company culture and needs. They presented a shortlist of candidates in a timely manner.
Keith Hales
CEO, InfoSystems, Inc.
Their strength was in understanding the technical depth of our roles while still focusing on cultural fit. Communication was clear and consistent throughout.
Lalit Mangal
CEO, Airmeet
Instead of just filling positions, they focused on bringing in people who could grow and evolve with us.
Carlo Gualandri
CEO, Soldo
Their project management was very professional.
Melissa K.
Head of TA, Enterprise Client
Reliable partner for building a strong team. We liked how organized and structured the process was.
Praful Chavda
Founder, Startup
They took time to understand our team dynamics, not just the job description.
Greg Williams
President, Audigent
The most impressive fact to us was that they knew our industry and hiring requirements well. They demonstrated excellent communication, timely delivery, and receptiveness to feedback.
David Hsu
CEO, Retool
They not only sent resumes but also brought us candidates who really matched what we were seeking.
Transparent pricing
Our pricing
Choose the service that fits your hiring needs. No hidden fees, no surprises.
FAQ
Frequently Asked Questions
Everything you need to know about working with GENTY Recruitment.
We recruit ML engineers, data scientists, NLP/LLM specialists, computer vision engineers, AI infrastructure/MLOps engineers, AI product managers, and research scientists. From model training to production deployment — every function.
Yes. We vet for model deployment at scale, not just Kaggle competitions. Every candidate is assessed on production ML pipelines, experiment tracking, model monitoring, and real-world inference optimization.
PyTorch, TensorFlow, JAX, Hugging Face, LangChain, scikit-learn, Ray, MLflow, Kubeflow, Weights & Biases, and more. We maintain specialised pipelines for each major AI stack.
First shortlists in 3–5 business days. AI roles average 14–18 days from kickoff to signed offer. For urgent needs, we can present pre-vetted candidates from our active pipeline within 48 hours.
Absolutely. We've built 5–20-person AI teams from scratch — ML engineers, data scientists, MLOps, and AI product managers. LATAM's strong technical universities and timezone alignment make it ideal for distributed AI teams.
LATAM has world-class technical universities producing top AI researchers. Countries like Brazil, Argentina, and Mexico have thriving AI communities, competitive ML hackathon scenes, and engineers publishing at NeurIPS, ICML, and CVPR.
Yes — prompt engineers, fine-tuning specialists, RAG pipeline developers, LLM evaluation engineers, and AI safety researchers. We've been placing generative AI talent since the GPT-3 era.
Every placement comes with a 3-month replacement guarantee. If a hire leaves or doesn't meet expectations within 90 days, we find a replacement at no additional cost.
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