Hire ML Platform Engineers in LATAM
Access pre-vetted ML platform engineers from Latin America — infrastructure experts who build self-serve ML platforms that make your entire AI team faster.
LATAM countries
Argentina
Brazil
Mexico
Colombia
ChileML Platform Skills
ML platform engineer hiring · LATAM
Everything you need to hire ML platform engineers in LATAM
We assess ML platform expertise — infrastructure design, GPU management, self-serve tooling, model serving at scale, and the ability to build platforms that make ML teams productive.
ML platform assessment
We verify platform architecture, GPU management, and self-serve design — not just Kubernetes with ML labels.
ML platform across sectors
From AI startups building first platform to enterprises scaling ML — platform engineers for your stage.
Hire ML platform engineers across LATAM
Argentina, Brazil, Mexico — ML platform engineers from companies running ML infrastructure at scale.
Why hire in LATAM ML Platform Engineers
Click on any card to learn more about the LATAM advantage.
Self-serve ML infrastructure
Our ML platform engineers build internal platforms — self-serve experiment tracking, one-click training jobs, and automated model deployment that let data scientists focus on models.
GPU cost optimization
They manage GPU compute efficiently — spot instances, multi-tenant scheduling, auto-scaling, and resource quotas that cut GPU costs by 30–60% while serving all teams.
Timezone for platform support
ML platforms serve internal teams. LATAM's 4–8 hour US overlap ensures your platform engineer handles compute issues and access requests during business hours.
60–70% lower than US salaries
A senior ML platform engineer earns $7,000–$11,000/month in LATAM vs $18,000–$28,000 in the US. Rare platform expertise at competitive rates.
Distributed training infrastructure
Our engineers build distributed training — Ray, Horovod, or DeepSpeed across multi-GPU/multi-node setups that train your models faster.
Multi-tenant and scalable
They design platforms that serve multiple teams — resource isolation, fair scheduling, and governance that scale as your ML org grows.
Your trusted partner for hiring ML platform engineers in LATAM
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LATAM countries
From GPU management to self-serve ML tooling — platform engineers who make your entire AI org productive.
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 ML platform engineers alone
GENTY delivers pre-vetted ML platform engineers with verified infrastructure, GPU management, and self-serve design skills.
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.
ML platform engineers build the infrastructure that enables ML teams to be productive — self-serve experiment tracking, training infrastructure, model serving, GPU management, and developer tooling for ML.
MLOps focuses on deploying and monitoring specific models. ML platform engineers build the platform that all ML teams use — compute management, experiment infrastructure, and self-serve tooling at the organizational level.
We assess platform design for ML workloads, Kubernetes/GPU management, experiment tracking infrastructure, model serving at scale, cost optimization, and developer experience for ML teams.
Kubeflow, Ray, Kubernetes (GPU scheduling), Seldon/BentoML, MLflow (at scale), feature platforms, and custom ML infrastructure. We match based on your platform needs.
Senior ML platform engineers in LATAM earn $7,000–$11,000/month — 60–70% less than US rates of $18,000–$28,000/month.
First shortlists in 7–10 business days. ML platform roles average 18–24 days from kickoff to signed offer.
Yes. ML platform engineers serve internal ML teams. LATAM's 4–8 hour overlap ensures platform support during business hours.
Every placement comes with a 3-month replacement guarantee at no additional cost.
Looking to hire in ML Platform Engineers from LATAM?
Contact Genty Recruitment
Don't want to wait? Book a call with our team directly.
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