Hire The Top Applied ML Engineers From Latam For 30% Under US-Market
Hire applied machine learning engineers from Latin America to deliver practical ML solutions, from feature extraction to live model rollout. Get affordable, job-ready candidates in just 21 days through LatamCent.
Happy Customers Hiring Latin American Applied ML Engineers
Why Hire Applied ML Engineers From Latin America?
Hiring a machine learning engineer from Latin America brings a balance of expertise and accessibility.
The region offers talented developers with strong technical skills and artificial intelligence knowledge. Time zones align closely with North American schedules, simplifying communication and collaboration. Education systems in the region emphasize engineering and technology, producing consistently qualified candidates.
Hiring locally also allows businesses to benefit from competitive rates while maintaining high standards. Partnering with Latin American talent can support the growing demand for innovative solutions.
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 Applied ML Engineers
LatamCent candidates are skillful professionals with excellent English proficiency and impressive work experience.
Junior Applied ML Engineer
With 1-3 years of experience, they assist in building machine learning models, support data collection, and ensure accurate preprocessing. These engineers focus on testing algorithms and refining prototypes for better performance.
Mid-Level Applied ML Engineer
With 4-6 years of experience, professionals optimize algorithms, develop predictive solutions, and manage intermediate-level tasks. They also mentor junior colleagues while contributing to improving existing models and processes.
Senior Applied ML Engineer
With 7-10 years behind them, experts design advanced models, lead project execution, and handle complex challenges. Senior professionals collaborate with teams to ensure solutions align closely with organizational goals.
Director Applied ML Engineer
With over 10 years of expertise, leaders define strategies, oversee large-scale projects, and align machine learning plans with business objectives. They emphasize innovation and team development while ensuring successful execution.
Cost Savings: Hire Applied ML Engineers In Latam Vs. USA
Hiring applied machine learning engineers in Latin America can provide access to highly skilled professionals while saving on overall costs compared to the United States.
The region boasts a rich talent pool trained in advanced technologies and artificial intelligence. Time zone compatibility with North America makes collaboration more efficient, facilitating real-time communication without added hurdles.
Professionals often have extensive technical expertise, supported by strong educational backgrounds in engineering and computer sciences.
Latamcent connects organizations with reliable candidates who offer excellent value while meeting business requirements.
Salary Comparison for Applied ML Engineers
Our Process To Recruit & Hire Applied ML Engineers In 21 Days In Latam Vs. USA
Kickoff & Search
Sign the agreement, pay the retainer, and your recruitment begins. We actively headhunt the top 1,100-1,700 Applied 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 Applied ML Engineers is now ready to contribute and integrated into your team.
Are You Ready To Start Building Your Team?
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Daniel Silva
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Emiliano Gomez
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Gustavo Nascimento
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Luis Bautista
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