Hire The Top AI/ML DevOps Engineers From Latam For 30% Under US-Market
Hire AI/ML DevOps engineers from Latin America with hands-on experience in model versioning, infrastructure-as-code and ML workflow automation. Get production-ready support in 21 days or less through LatamCent.
Happy Customers Hiring Latin American AI/ML DevOps Engineers
Why Hire AI/ML DevOps Engineers From Latin America?
Hiring AI/ML DevOps Engineers from Latin America brings a blend of expertise and value.
The region houses a growing pool of highly skilled professionals proficient in managing complex development and operations workflows.
With overlapping time zones, collaboration with North American teams becomes seamless, enabling real-time problem-solving. Cultural alignment further ensures smoother integration into existing projects, fostering productive teamwork.
Cost-effectiveness adds another advantage, allowing companies to optimize budgets while receiving quality work. Latin America's engineers bring technical aptitude and a dedication to delivering practical solutions. For businesses aiming to scale DevOps capabilities, this region offers unmatched opportunities to build efficient, collaborative 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 AI/ML DevOps Engineers
Recruiters specializing in AI and ML hiring screen each AI/ML DevOps Engineer for skills, timezone fit, and availability..
Our Candidates Are Experienced AI/ML DevOps Engineers
LatamCent candidates are skillful professionals with excellent English proficiency and impressive work experience.
Junior AI/ML DevOps Engineer
Supports automation tasks, monitors systems, and assists in deploying machine learning models. Typically has 0-2 years of experience working with basic cloud tools, scripting, and software pipelines.
Mid-Level AI/ML DevOps Engineer
Manages scalable deployments, optimizes AI integrations, and oversees complex system performance. Requires 3-5 years of hands-on expertise in DevOps practices, cloud platforms, and machine learning operations.
Senior AI/ML DevOps Engineer
Leads operational strategies, ensures efficient AI workflow integration, and mentors team members. Brings 6-9 years of advanced experience in system architecture, CI/CD pipelines, and cross-functional collaboration.
Director of AI/ML DevOps Engineer
Defines leadership strategies, aligns DevOps with strategic AI goals, and supervises global teams. Holds over 10 years of experience in decision-making, cloud orchestration, and large-scale infrastructure operations.
Cost Savings: Hire AI/ML DevOps Engineers In Latam Vs. USA
Hiring AI/ML DevOps Engineers from Latin America offers considerable financial advantages.
Companies save on operational costs while retaining access to highly skilled professionals with expertise spanning cloud operations, automation, and machine learning integrations.
Due to shared time zones, real-time collaboration becomes more effortless, increasing productivity and reducing delays. Cultural alignment further simplifies integrating these engineers into existing teams, promoting seamless partnership.
The regionÛªs robust talent pool, bolstered by strong technical education and a growing tech ecosystem, ensures quality work without the higher financial outlay associated with US-based hires. Hiring talent from Latin America is a smart way to balance skills and costs. It helps businesses strengthen their DevOps teams without stretching their budgets too far.
Salary Comparison for AI/ML DevOps 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 AI/ML DevOps 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 AI/ML DevOps 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 AI/ML DevOps Engineer is now ready to contribute and integrated into your team.
Are You Ready To Start Building Your Team?
AI/ML DevOps Engineer
Fabin Herrera
Tools
AI/ML DevOps Engineer
Luis Bautista
Tools
AI/ML DevOps Engineer
Carlos Cabrera
Tools
AI/ML DevOps Engineer
Luis Bautista
Tools
AI/ML DevOps Engineer
Caio Oliveira
Tools
