Hire The Top MLOps Engineers From Latam For 30% Under US-Market
Hire MLOps engineers from Latin America who specialize in CI/CD for ML, model monitoring and scalable infrastructure. Complete your team in 21 days or less with LatamCent.
Happy Customers Hiring Latin American MLOps Engineers
Why Hire MLOps Engineers From Latin America?
Hiring MLOps engineers from Latin America connects businesses with professionals skilled in optimizing machine learning workflows and maintaining efficient deployment pipelines.
These experts manage scalable infrastructures, automate processes, and ensure seamless integration of data systems. With experience in monitoring model performance, they address issues proactively while delivering reliable solutions tailored to organizational goals. Latin American professionals bring the added advantage of multilingual collaboration, adapting quickly to diverse teams and project requirements.
Choosing talent from this region provides access to engineers who excel in ensuring cost-effective, high-quality machine learning operations for growing industries like healthcare, finance, and e-commerce.
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 MLOps Engineers
Recruiters specializing in AI and ML hiring screen each MLOps Engineer for skills, timezone fit, and availability..
Our Candidates Are Experienced MLOps Engineers
LatamCent candidates are skillful professionals with excellent English proficiency and impressive work experience.
Junior MLOps Engineer
With 2-4 years of experience, supports pipeline automation, assists in maintaining machine learning infrastructures, and troubleshoots deployment issues across projects for efficient and reliable operations.
Mid-Level MLOps Engineer
Bringing 5-8 years of expertise designs scalable platforms, optimizing workflows, managing model retraining protocols, and integrating frameworks to ensure consistent delivery of high-quality machine learning services.
Senior MLOps Engineer
With 9-12 years in the field, oversees complex initiatives, develops advanced monitoring systems, leads deployment strategies, and ensures seamless coordination between development teams and operational demands.
Director of MLOps Engineer
Over 13 years of experience, drives strategic decisions, manages cross-functional collaborations, mentors technical teams, and advises on policy implementation for efficient, large-scale machine learning system management.
Cost Savings: Hire MLOps Engineers In Latam Vs. USA
Hiring MLOps engineers in Latin America offers an affordable approach without compromising expertise.
These professionals specialize in automating machine learning processes, maintaining pipelines, and optimizing infrastructure performance. Their knowledge extends to seamless deployment strategies and monitoring model operations for accuracy.
Latin American engineers quickly adapt to diverse collaborations, aligning technical solutions with industry-specific needs in the healthcare, e-commerce, and finance sectors.
By choosing talent from this region, companies receive reliable, high-quality services while effectively managing budgets. This is a strategic combination for businesses aiming to scale machine learning applications efficiently.
Salary Comparison for MLOps 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 MLOps 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 MLOps 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 MLOps Engineer is now ready to contribute and integrated into your team.
Are You Ready To Start Building Your Team?
MLOps Engineer
Felipe Costa
Tools
MLOps Engineer
Emiliano Gomez
Tools
MLOps Engineer
Nicolas Bravo
Tools
MLOps Engineer
Santiago Rodriguez
Tools
MLOps Engineer
Caio Oliveira
Tools
