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Hire The Top Principal Machine Learning Engineers From Latam For 30% Under US-Market

Hire principal machine learning engineers from Latin America who specialize in system-level AI architecture, advanced algorithm development and model scaling. Build a strong team in 21 days or less with LatamCent.

Happy Customers Hiring Latin American Principal Machine Learning Engineers

 

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Why Hire Principal Machine Learning Engineers From Latin America?

Hiring principal machine learning engineers from Latin America connects businesses with experienced professionals skilled in AI technologies.

The region’s competitive hiring rates stem from a growing pool of STEM-educated talent, making it a smart choice for managing project costs without compromising quality. Engineers work effectively in North American time zones, ensuring smooth collaboration and real-time decision-making.

Additionally, shared work ethics and similar business cultures foster strong team dynamics, streamlining communication and project alignment.

Map of Latin America

LatamCent
Can Help You

Hire AI/ML Roles in 21 Days

Most AI roles are filled in two to three weeks, with vetted candidates ready for final interviews in days.

Sourcing, Vetting, & Interviews

We don’t rely on inbound applications. Our team actively headhunts AI talent, conducts interviews, and handles compliance, IP protections, and payroll.

Top 10% AI/ML Engineers in Latam

Fluent English speakers with strong academic records, LLM expertise, and hands-on experience deploying models in production.

Get Pre-Vetted Principal Machine Learning Engineers

Recruiters specializing in AI and ML hiring screen each Principal Machine Learning Engineer for skills, timezone fit, and availability..

Our Candidates Are Experienced Principal Machine Learning Engineers

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

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Junior Principal Machine Learning Engineer

With 2-4 years of experience, they assist in developing basic models, analyze datasets for actionable insights, and support senior team members. Their work builds essential foundations for effective and scalable machine-learning solutions.

Junior Engineer at work Junior Engineer explaining code

Mid-Level Principal Machine Learning Engineer

Bringing 4-6 years of experience, they shape algorithms, improve existing workflows, and manage team collaboration. Their role focuses on refining methodologies and achieving practical results through innovative problem-solving and applied technical skills.

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

Senior Principal Machine Learning Engineer

With 6-10 years of experience, they lead scalable system design, mentor emerging talent, and oversee deployment processes. They troubleshoot complex challenges and ensure the seamless operation of advanced machine-learning applications.

Senior Engineer with pet
Senior Engineer working

Director of Principal Machine Learning Engineer

With over 10 years of experience, they direct strategic decision-making, align machine learning goals with business needs, and guide cross-functional innovation. Their role includes team leadership and ensuring impactful, results-driven project execution.

Engineering Director
Engineering Director with team

Cost Savings: Hire Principal Machine Learning Engineers In Latam Vs. USA


Hiring a principal machine learning engineer from Latin America offers clear advantages.

The region boasts a skilled workforce with expertise in advanced technologies, providing excellent quality at competitive rates. Time zone alignment ensures smooth collaboration with North American teams, enabling real-time communication and efficient workflows.

Additionally, cultural similarities enhance team dynamics, promoting productive and cohesive project environments. Engineers from Latin America often demonstrate strong commitment and adaptability, making them valuable assets for organizations seeking dependable talent.

Beyond technical skills, the opportunity to work with professionals who align with your business values ensures successful integration.

Salary Comparison for Principal Machine Learning Engineers

This is an average based on the top 50% of salaries in the region. Top 10% earners usually have higher rates.

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

Our Process To Recruit & Hire Principal Machine Learning Engineers In 21 Days In Latam Vs. USA

1
2
3

Kickoff & Search

Sign the agreement, pay the retainer, and your recruitment begins. Our Talent Partners dive into the market to headhunt 1,100–1,700 qualified Principal Machine Learning Engineers candidates who meet your job requirements and timezone preferences.

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, communication skills, and set expectations.

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 Principal Machine Learning Engineer is now ready to contribute and integrated into your team.





Are You Ready To Start Building Your Team?

Principal Machine Learning Engineer

Luciano Garza

Luciano Garza

Bolivia
Salary $60k
Up to $66k
Technical Writing | Audience Adaptation | API Documentation | Version Control | Knowledge Base Structuring

Tools

Terraform Pulumi AWS CloudFormation Kubernetes Engine Azure Resource Manager

Principal Machine Learning Engineer

Leonardo Campos

Leonardo Campos

Colombia
Salary $58k
Up to $62k
Technical Writing | Audience Adaptation | API Documentation | Version Control | Knowledge Base Structuring

Tools

Terraform Pulumi AWS CloudFormation Kubernetes Engine Azure Resource Manager

Principal Machine Learning Engineer

Larissa Nascimento

Larissa Nascimento

Brazil
Salary $60k
Up to $66k
Technical Writing | Audience Adaptation | API Documentation | Version Control | Knowledge Base Structuring

Tools

Terraform Pulumi AWS CloudFormation Kubernetes Engine Azure Resource Manager

Principal Machine Learning Engineer

Nicolas Bravo

Nicolas Bravo

Argentina
Salary $59k
Up to $64k
Technical Writing | Audience Adaptation | API Documentation | Version Control | Knowledge Base Structuring

Tools

Terraform Pulumi AWS CloudFormation Kubernetes Engine Azure Resource Manager

Principal Machine Learning Engineer

Sebastian Cortez

Sebastian Cortez

Chile
Salary $58k
Up to $62k
Technical Writing | Audience Adaptation | API Documentation | Version Control | Knowledge Base Structuring

Tools

Terraform Pulumi AWS CloudFormation Kubernetes Engine Azure Resource Manager
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