Hire The Top Machine Learning Engineers From Latam For 30% Under US-Market
Hire machine learning engineers from Latin America with experience in Python, TensorFlow and scalable model development. Lower costs, real-time collaboration and delivery in 21 days or less with LatamCent.
Happy Customers Hiring Latin American Machine Learning Engineers
Why Hire Machine Learning Engineers From Latin America?
Hiring machine learning engineers from Latin America offers practical advantages.
First, the region provides highly skilled professionals at competitive rates. Latin American engineers are known for their expertise in tools like Python and TensorFlow, delivering top-notch results without heavy financial burdens.
Additionally, the time zone proximity to North America facilitates smooth communication and efficient collaboration. Teams can align schedules and address project needs in real-time.
Cultural similarities improve collaboration. Latin American engineers often share familiar business practices, creating a natural fit with North American teams.
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 Machine Learning Engineers
Recruiters specializing in AI and ML hiring screen each Machine Learning Engineer for skills, timezone fit, and availability..
Our Candidates Are Experienced Machine Learning Engineers
LatamCent candidates are skillful professionals with excellent English proficiency and impressive work experience.
Junior Machine Learning Engineer
With 0-2 years of experience, this role focuses on preparing and organizing data for machine learning tasks. Junior engineers assist in building and testing models under guidance, learning essential skills while contributing to team efforts.
Mid-Level Machine Learning Engineer
Typically bringing 2-5 years of experience, mid-level engineers refine machine learning models to solve practical challenges. They test and improve performance while collaborating with teams to ensure reliable solutions.
Senior Machine Learning Engineer
Requiring 5-8 years of experience, senior engineers take charge of designing scalable models and guiding their deployment. They address complex problems, mentor junior colleagues, and ensure quality across projects. This role demands expertise and collaboration.
Director of Machine Learning Engineer
With 8+ years of experience, directors lead the strategic vision for machine learning initiatives. From managing teams to aligning goals with business priorities, they oversee development. Their role ensures methodologies are effective while inspiring improvement.
Cost Savings: Hire Machine Learning Engineers In Latam Vs. USA
Hiring machine learning engineers in Latin America offers businesses a cost-efficient solution without compromising quality.
The region boasts a strong pool of skilled professionals shaped by growing STEM education and thriving tech ecosystems. Lower living costs mean hiring rates are more competitive, benefiting companies looking to manage budgets wisely.
Proximity to the U.S. ensures overlapping work hours, making collaboration effortless. With strong English skills and similar work ethics, engineers integrate effectively into teams, promoting smooth project execution.
Additionally, Latin America's innovative culture and increasing adoption of advanced technologies contribute to a talent market ready to tackle complex challenges.
Salary Comparison for Machine Learning Engineers
This is an average based on the top 50% of salaries in the region. Top 10% earners usually have higher rates.
Our Process To Recruit & Hire Machine Learning Engineers In 21 Days In Latam Vs. USA
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 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 Machine Learning Engineer is now ready to contribute and integrated into your team.
Are You Ready To Start Building Your Team?
Machine Learning Engineer
Juliana Silva
Tools
Machine Learning Engineer
Leonardo Gonzalez
Tools
Machine Learning Engineer
Vanessa Carrillo
Tools
Machine Learning Engineer
Martin Gomez
Tools
Machine Learning Engineer
Leonardo Campos
Tools
