Hire Top Machine Learning Engineers in LatAm. Fully Onboarded in 15 Days

Get vetted Machine Learning Engineers who work in your time zone, understand your culture, and are ready to strengthen your AI team in 15 days or less.

Trusted by top U.S. companies:

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Why Hire Machine Learning Engineers in Latin America?

Latin America offers highly skilled Machine Learning Engineers with global experience, strong technical foundations, and fluent English communication. They work in your time zone, share your culture, and deliver world-class ML solutions at a fraction of U.S. hiring costs.

High-Quality Ai Talent

Our vetted Machine Learning Engineers bring advanced expertise in model development, data pipelines, and AI deployment.

Flexible Collaboration

Work seamlessly with Machine Learning Engineers who easily integrate into your workflows, communication tools, and sprint cycles, ensuring smooth collaboration and consistent delivery with your internal teams.

Cultural Alignment at Lower Costs

LatAm Machine Learning experts share your culture, time zone, and communication style while providing exceptional results at highly competitive rates, allowing you to scale intelligently without overextending your budget.

Cost-Effective Without Breaking the Bank

Access elite Machine Learning Engineers at up to 50% lower cost than U.S.-based hires. Enjoy world-class technical talent that keeps your AI initiatives efficient, reliable, and financially sustainable.

Why Hire Machine Learning Engineers in Latin America?

Latin America offers highly skilled Machine Learning Engineers with global experience, strong technical foundations, and fluent English communication. They work in your time zone, share your culture, and deliver world-class ML solutions at a fraction of U.S. hiring costs.

Top AI Talent with Experience in Global Companies

Our vetted professionals have worked with world-class organizations like Amazon, Microsoft, and IBM, bringing proven expertise, technical excellence, and the cultural alignment your team needs to scale fast.

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Top-Tier AI Professionals, Ready When You Are

Floowi connects you with exceptional AI experts who’ve led projects for global companies and emerging startups. Each profile is carefully vetted for excellence, ensuring your team gains immediate value and long-term impact.

Daniel G.

Kubernetes

MLflow

LangChain

AWS

Python

Andrés T.

TensorFlow

PyTorch

Docker

FastAPI

AWS

Sofía R.

Python

Scikit-learn

Pandas

NumPy

FastAPI

AI Talent at Every Level of Expertise

Junior Machine Learning Engineers

Fresh, motivated talent ready to contribute. Junior ML engineers from Latin America bring strong coding skills, curiosity, and solid ML fundamentals, supporting data workflows, model development, and experiments that drive measurable business results.

Mid-Level Machine Learning Engineers

Strategic leaders in ML architecture and scalability. Senior ML engineers design robust MLOps systems, lead advanced model optimization, and mentor teams, ensuring your AI infrastructure delivers long-term value and innovation.

Senior Machine Learning Engineers

Strategic leaders in ML architecture and scalability. Senior ML engineers design robust MLOps systems, lead advanced model optimization, and mentor teams, ensuring your AI infrastructure delivers long-term value and innovation.

Top Ai Talent, Transparent Compensation.

Salary insights

Fresh talent ready to contribute. Junior Machine Learning Engineers from LatAm bring strong foundations in Python, data preprocessing, and model training. Ideal for startups and teams needing reliable, cost-effective support with data cleaning, model experimentation, and evaluation.

Eager to learn, supports model development under guidance

Handles data preparation, feature engineering, and testing

Cost-effective entry talent for research and small-scale ML projects

Tools or Skills:

Python

Scikit-learn

NumPy

Starting at:

3.0K

/month

Salary insights

Reliable and skilled. Mid-level LatAm Machine Learning Engineers combine coding excellence with practical model deployment. They manage the full ML lifecycle, from training and tuning to optimization and monitoring—working cross-functionally with product and data teams.

Designs, trains, and deploys production-ready ML models

Monitors and improves model performance and data pipelines

Mentors junior engineers and documents best practices

Tools or Skills:

TensorFlow

PyTorch

MLflow

Docker

Starting at:

4.0K

/month

Salary insights

Technical leadership at its best. Senior LatAm Machine Learning Engineers architect scalable ML systems, lead MLOps strategy, and drive automation with real-world impact. They align modeling efforts with business goals, ensuring efficiency, reliability, and ROI.

Leads ML architecture, pipeline automation, and CI/CD workflows

Oversees model governance, data versioning, and performance metrics

Guides teams and collaborates with stakeholders for measurable business outcomes

Tools or Skills:

Kubernetes

Airflow

TensorRT

MLflow

Starting at:

6.0K

/month

Build Your AI Team in 3 Simple Steps

Get your AI team up and running, fast. Floowi’s 3-step process makes hiring vetted AI talent in Latin America effortless and reliable.

1
2
3

Free Consultation

We help you identify the AI roles your company truly needs, tailored to your goals, timeline, and budget.

Candidate Shortlist

Receive a curated list of pre-vetted AI professionals within days, ready to interview and perfectly aligned with your company’s culture.

Start Building

Hire, onboard, and scale your AI operations confidently, with ongoing support from Floowi to ensure smooth integration and success.

Book My Free Consultation

Our Proven Selection Process for Elite Offshore Talent

We don’t just find candidates—we meticulously vet them. Our rigorous process ensures that every hire meets the highest standards in skill, communication, and cultural fit.

AI-Focused Candidate Screening

We go beyond resumes, each candidate is interviewed by AI recruitment experts to assess technical depth, problem-solving skills, and hands-on experience with modern AI frameworks and tools.

Our Proven Process for Hiring Elite AI Talent

Every AI professional goes through a rigorous multi-step vetting process to ensure top performance, strong communication, and seamless integration with your team.

Cultural & Time Zone Alignment

We prioritize professionals who align with your company’s work culture and values. All candidates operate within your time zone for real-time collaboration and fast iteration.

Final Review & Shortlisting

Only the top 5% of AI professionals pass every stage. Our experts review all assessments and interviews to present a shortlist of pre-vetted, high-impact talent ready to start.

English & Communication Testing

Every candidate completes an English proficiency and communication evaluation, ensuring clear collaboration in cross-functional AI projects and meetings.

Skill-Based AI Assessments

Candidates take technical challenges that replicate real-world AI tasks, from data modeling to prompt design, guaranteeing that only top performers move forward.

Scaling Success Together.

See how leading U.S. companies have scaled faster with Floowi, hiring top AI talent in Latin America that drives growth, innovation, and long-term impact.

"Floowi Talent has been an invaluable partner in our growth journey, consistently sourcing high-quality, talented team members who have driven our business forward. Their expert approach has allowed us to scale rapidly."

Camilo Henao

Camilo Henao

CEO & Founder

"Of all the companies that do what Floowi does, they really are the best"






Carolina Z
HR Manager

Carolina Z

HR Manager

"Floowi has been a key partner in my journey of building the Growth organization at TRIPP! Their candidates are exceptional and the hiring process is very smooth."




David Respreto
CMO

David Respreto

CMO

"Floowi Talent has been an invaluable partner in our growth journey, consistently sourcing high-quality, talented team members who have driven our business forward. Their expert approach has allowed us to scale rapidly. I highly recommend their services to any business looking to build a strong,”

Nathan
CEO & Founder

Nathan

CEO & Founder

"Floowi has been a fantastic recruitment partner. They’ve always been prompt in their responses and have consistently
provided effective solutions for our
projects. I'm very pleased with my hire through Floowi and look forward to expanding my team and business with them as a trusted partner."

Alexandra Liljebladh
Creative Director

Alexandra Liljebladh

Creative Director

Ready to Hire AI Talent?

Let’s help you build your AI team in 15 days or less.

Start with a free consultation and discover the pre-vetted AI talent your company needs to move faster and smarter.

Start now

Frequently

Asked

Questions

Here are some of the most common questions companies ask when hiring AI talent through Floowi.

Are Machine Learning Engineers from Floowi trained in AI tools and frameworks?

Yes. Every ML Engineer in Floowi’s network is trained in leading AI frameworks like TensorFlow, PyTorch, and Scikit-learn, and experienced in MLOps practices that ensure scalable, production-ready models.

What industries can benefit from hiring Machine Learning Engineers?

Machine Learning Engineers are valuable across multiple industries, from marketing and finance to healthcare, retail, and SaaS. They help automate workflows, improve forecasting, and enhance customer experiences.

How much does it cost to hire a Machine Learning Engineer from Latin America?

The cost of hiring a Machine Learning Engineer from Latin America typically ranges from $3,000 to $6,000 USD per month, depending on experience and skill level. Junior engineers start around $3,000, mid-level around $4,000, and senior professionals around $6,000, offering exceptional value compared to U.S. market rates.

How fast can Floowi help me hire a Machine Learning Engineer?

Floowi’s streamlined process allows you to hire a vetted Machine Learning Engineer in 15 days or less. Each candidate is pre-screened for technical expertise, communication skills, and cultural fit.

What skills should a good Machine Learning Engineer have?

Top Machine Learning Engineers are proficient in Python, TensorFlow, PyTorch, data pipelines, and MLOps. They also understand statistics, data preprocessing, and cloud deployment on AWS, GCP, or Azure.

Why hire Machine Learning Engineers from Latin America?

Machine Learning Engineers from Latin America offer strong technical foundations, English fluency, and cultural alignment with U.S. teams. They deliver top-tier results in your time zone at up to 50% lower cost than U.S.-based hires.

Machine Learning Engineer

A Machine Learning Engineer designs, builds, and maintains systems that use data to make predictions or automate decisions. They work closely with data scientists and developers to deploy scalable ML models into production environments.