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Hire The Top AI/ML Engineers From Latam For 30% Under US-Market

Hire AI/ML engineers from Latin America with strong backgrounds in deep learning, natural language processing and data-driven model development. Cut hiring timelines and expenses with LatamCent’s 21-day placement process

Happy Customers Hiring Latin American AI/ML Engineers

 

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Why Hire AI/ML Engineers From Latin America?

Latin America is a standout choice when hiring AI/ML engineers.

The region offers highly skilled professionals at more affordable rates than many other locations, providing exceptional value without compromising quality. Engineers here are well-trained in modern tools and techniques like data modeling and machine learning development.

With minimal time zone differences, collaboration feels seamless, allowing real-time communication with North American teams. Additionally, shared cultural values promote smooth integration into existing workflows.

Countries like Brazil, Mexico, and Argentina have emerging tech ecosystems, making them leading hubs for innovative development. Latin America combines talent, affordability, and cooperation for businesses seeking effective AI/ML solutions.

Map of Latin America

LatamCent
Can Help You

Save 30-70% On Salaries.

We offer lower-cost, motivated candidates.

Hire Quickly — 10x Faster.

Typically you can hire in under 21 days.

Find the best teammates for you.

Back-end & Front-end integrators. Highly skilled at web, apps, and software development.

Save Time With Pre-Vetted Candidates.

English speaking. Experienced with top-notch technologies.

Our Candidates Are Experienced AI/ML Engineers

LatamCent candidates are skillful professionals with excellent English proficiency and impressive work experience.

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Junior AI/ML Engineer

Typically has 1-3 years of experience. Assists in data analysis, implements simple algorithms, and supports model testing. Works under guidance to improve skills while contributing to foundational project tasks.

Junior Engineer at work Junior Engineer explaining code

Mid-Level AI/ML Engineer

With 3-5 years of experience, manages projects, optimizes algorithms, and handles data preprocessing. Collaborates on model deployment and troubleshooting while suggesting improvements to workflows.

Mid-Level Engineer in office Mid-Level Engineer team meeting
Mid-Level Engineer with team

Senior AI/ML Engineer

Possesses 6-9 years of expertise. Designs complex models, leads development, and solves advanced challenges. Mentors junior team members and ensures successful delivery of advanced AI/ML initiatives.

Senior Engineer with pet
Senior Engineer working

Director AI/ML Engineer

With over a decade of experience, leads strategy, oversees enterprise AI initiatives, and manages cross-functional collaboration. Guides teams while driving innovation and long-term tech growth.

Engineering Director
Engineering Director with team

Cost Savings: Hire AI/ML Engineers In Latam Vs. USA

Hiring AI/ML engineers from Latin America offers clear cost efficiency compared to the USA.

The region provides access to highly qualified professionals at more competitive rates while maintaining quality. Skilled teams handle advanced tasks with expertise shaped by strong education in STEM fields. Additionally, proximity to the U.S. enables real-time collaboration without cultural barriers, easing integration with existing workflows.

Operational savings also stand out, as lower overheads for benefits and infrastructure reduce investment. Combined with adaptability and a growing tech ecosystem, Latin America presents businesses with a strategic option for advanced AI/ML projects.

Salary Comparison for AI/ML Engineers

US Salary
LatAm Salary
Savings
140K
US Salary
40K
Latam Salary
100K
Savings

Our Process To Recruit & Hire AI/ML Engineers In 21 Days In Latam Vs. USA

1
2
3

Kickoff & Search

Sign the agreement, pay the retainer, and your recruitment begins. We actively headhunt the top 1,100-1,700 AI/ML Engineers candidates who meet your job requirements.

Screening & Evaluation

Our Talent Partners will thoroughly vet candidates through English language tests, personality assessments, and tech capability checks. We conduct interviews to evaluate past work, expectations, and communication skills.

Selection & Onboarding

You'll assess the top candidates and decide who's right for your team. Once selected, we handle reference checks, legal agreements, and onboarding to payroll. Your new AI/ML Engineers is now ready to contribute and integrated into your team.

Are You Ready To Start Building Your Team?

AI/ML Engineer

Augusto Aguirre

Victoria Moreira

Panama
Salary $54K
Up to $54K
Transformer model innovation | Multilingual model training | Pretraining & fine-tuning LLMs | Semantic & syntactic parsing | Benchmark dataset evaluation (SQuAD)

Tools

Hugging Face spaCy AllenNLP TensorBoard NLTK

AI/ML Engineers

Augusto Aguirre

Caio Oliveira

Brazil
Salary $54K
Up to $54K
Transformer model innovation | Multilingual model training | Pretraining & fine-tuning LLMs | Semantic & syntactic parsing | Benchmark dataset evaluation (SQuAD)

Tools

Hugging Face spaCy AllenNLP TensorBoard NLTK

AI/ML Engineers

Augusto Aguirre

Emiliano Gomez

Argentina
Salary $54K
Up to $54K
Transformer model innovation | Multilingual model training | Pretraining & fine-tuning LLMs | Semantic & syntactic parsing | Benchmark dataset evaluation (SQuAD)

Tools

Hugging Face spaCy AllenNLP TensorBoard NLTK

AI/ML Engineers

Augusto Aguirre

Alexis Paz

Uruguay
Salary $54K
Up to $54K
Transformer model innovation | Multilingual model training | Pretraining & fine-tuning LLMs | Semantic & syntactic parsing | Benchmark dataset evaluation (SQuAD)

Tools

Hugging Face spaCy AllenNLP TensorBoard NLTK

AI/ML Engineers

LatamAvatar5

Bianca Ferreira

Brazil
Salary $54K
Up to $54K
Transformer model innovation | Multilingual model training | Pretraining & fine-tuning LLMs | Semantic & syntactic parsing | Benchmark dataset evaluation (SQuAD)

Tools

Hugging Face spaCy AllenNLP TensorBoard NLTK
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