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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

 

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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.

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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 MLOps Engineers

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

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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.

Junior Engineer at work Junior Engineer explaining code

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.

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

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.

Senior Engineer with pet
Senior Engineer working

Director 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.

Engineering Director
Engineering Director with team

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

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

Our Process To Recruit & Hire MLOps Engineers In 21 Days In Latam Vs. USA

1
2
3

Kickoff & Search

Sign the agreement, pay the retainer, and your recruitment begins. We actively headhunt the top 1,100-1,700 MLOps 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 MLOps Engineers is now ready to contribute and integrated into your team.

Are You Ready To Start Building Your Team?

MLOps Engineer

Augusto Aguirre

Felipe Costa

Brazil
Salary $54K
Up to $54K
Cognitive Architectures | Contextual Understanding | Human-Computer Interaction | Knowledge Representation | Symbolic AI

Tools

Terraform Pulumi AWS CloudFormation Kubernetes Engine Azure Resource Manager

MLOps Engineer

Augusto Aguirre

Emiliano Gomez

Argentina
Salary $54K
Up to $54K
Cognitive Architectures | Contextual Understanding | Human-Computer Interaction | Knowledge Representation | Symbolic AI

Tools

Terraform Pulumi AWS CloudFormation Kubernetes Engine Azure Resource Manager

MLOps Engineer

Augusto Aguirre

Nicolas Bravo

Argentina
Salary $54K
Up to $54K
Cognitive Architectures | Contextual Understanding | Human-Computer Interaction | Knowledge Representation | Symbolic AI

Tools

Terraform Pulumi AWS CloudFormation Kubernetes Engine Azure Resource Manager

MLOps Engineer

Augusto Aguirre

Santiago Rodriguez

Guatemala
Salary $54K
Up to $54K
Cognitive Architectures | Contextual Understanding | Human-Computer Interaction | Knowledge Representation | Symbolic AI

Tools

Terraform Pulumi AWS CloudFormation Kubernetes Engine Azure Resource Manager

MLOps Engineer

LatamAvatar5

Caio Oliveira

Brazil
Salary $54K
Up to $54K
Cognitive Architectures | Contextual Understanding | Human-Computer Interaction | Knowledge Representation | Symbolic AI

Tools

Terraform Pulumi AWS CloudFormation Kubernetes Engine Azure Resource Manager
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