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Hire Top Machine Learning Engineers in LatAm. Same Quality. 66% Less.

Hire elite Machine Learning Engineers in 22 days. Only interview talent pre-vetted for skill, experience, and cultural fit. We handle everything else.

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Why Hire Machine Learning Engineers in LatAm?

Hot Spot for Tech Talent

LatAm has a booming tech ecosystem with millions of skilled Machine Learning Engineers.

US Time Zones

LatAm developers work during US working hours, making collaboration seamless. You’re hiring teammates, not offshore resources.

Seamless Work Culture

Near’s proven hiring process delivers candidates who are both a cultural and professional fit—helping you boost retention and build stronger teams.

Strong English

We don’t just screen for skills. We ensure all candidates have strong English proficiency.

Lower Operational Costs

LatAm salaries are 30-70% below US market. Hire the top 1% while keeping your hiring budget in check. It’s a win-win situation.

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Top-Caliber Candidates in 3 Days.

160k+ pre-vetted candidate pool

We handpick the top 3 for your role based on skill, experience, and culture fit. In 3 days, interview candidates with track records at companies like:

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Hire LatAm's Top 1% Machine Learning Engineers in 22 Days

Join 950+ fast-growing US companies building high-performing teams with top LatAm talent—while cutting hiring costs by up to 66%. Hire smarter. Start your search today.

LatAm Machine Learning Engineer Salaries and Skills by Experience Level

Make the right hire with transparent salary data and clear skill benchmarks for junior, mid-level, and senior remote Machine Learning Engineers in Latin America.

Jr. Machine Learning Engineer

  • Bachelor’s Degree in Computer Science, AI, or related field
  • 1–2 years of experience in machine learning projects
  • Familiar with Python and libraries like scikit-learn, TensorFlow, or PyTorch
  • Basic knowledge of model training, evaluation, and data preprocessing
  • Ability to support development and deployment of ML models

Machine Learning Engineer

  • Degree in Computer Science, Data Science, or a related field
  • 3+ years of experience in designing and implementing machine learning models
  • Proficiency in programming languages such as Python or R
  • Experience with machine learning frameworks like TensorFlow or PyTorch
  • Strong understanding of algorithms, statistics, and data structures
  • Ability to work with large datasets and perform data preprocessing

Sr. Machine Learning Engineer

  • Degree in Computer Science, Data Science, or a related field
  • 5+ years of experience in machine learning and artificial intelligence
  • Expertise in developing and deploying complex machine learning models
  • Proficiency in multiple programming languages and ML frameworks
  • Experience leading projects and mentoring junior engineers
  • Strong understanding of deep learning, natural language processing, or computer vision

See a few of our 160k+ pre-vetted candidates

Marilina V.
Marilina V.

Data Scientist

Mexico

Seniority

Mid Level

Skills & Tools

Data Lakes
Data Management
Data Scientist
Eric H
Eric H

Mid Level Data Engineer

Brazil

Seniority

Mid Level

Skills & Tools

Data Lakes
Data Engineer
Justo S.
Justo S.

Head of Data and Analytics

Chile

Seniority

VP

Skills & Tools

PowerBI
Lucas R.
Lucas R.

Python Programmer

Colombia

Seniority

Associate

Skills & Tools

Management
Victor L.
Victor L.

Data Scientist

Brazil

Seniority

Senior / C-Level

Skills & Tools

Javascript
Statistical Data Analysis
Data Scientist
Matias C.
Matias C.

Senior Data Analyst

Argentina

Seniority

Mid Level

Skills & Tools

MS Excel
Belen G.
Belen G.

Airtable Specialist

Bolivia

Seniority

Associate

Skills & Tools

Email Marketing
Airtable
Klaviyo
Zapier
Ana G.
Ana G.

Python Programmer

Brazil

Seniority

Mid Level

Skills & Tools

Python
SQL
Milagros H.
Milagros H.

Junior Data Analyst

Argentina

Seniority

Entry Level

Skills & Tools

Tableau
Statistical Data Analysis
Data Visualization
Manuel P.
Manuel P.

Business Intelligence Analyst

Mexico

Seniority

Associate

Skills & Tools

PowerBI
MS Excel
Tableau
Pandas

Why Hire LatAm Machine Learning Engineers with Near?

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Faster Hiring

Interview 3+ candidates in 3 days. Pre-vetted for skill, experience, and culture fit. Get end-to-end support to make the right hire fast.

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Risk-Free Hiring

Pay nothing upfront. Hire only if you’re happy. Plus, every hire is backed by our 180-day free replacement policy.

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Build Real Teams

Every hire is a full-time teammate. Embedded in your team, aligned with your goals, and committed long-term.

500+
Software Engineers placed
22
Days average time to hire
Clients Love Us
High Performer
High Performer

Get Top Development Talent and Save up to 66% in Overhead Costs

Jr. Machine Learning Engineer

US Salary:

$87k — $160.6k

LatAm Salary:

$42k — $54k

Save up to
66%

Machine Learning Engineer

US Salary:

$160.6k — $174.9k

LatAm Salary:

$54k — $72k

Save up to
66%

Sr. Machine Learning Engineer

US Salary:

$174.9k — $191.4k

LatAm Salary:

$72k — $90k

Save up to
59%

How Near's Proven Hiring Process Works

1. Discovery session

Share your hiring goals and we’ll guide you on roles, markets, and comp. Then align on how to hire and what to offer.

2. Kick-off call

Meet your recruiter to finalize the role and build your hiring plan. We’ll align on profile, process, and timeline.

3. Interviews and hiring

Review 3+ top candidates in under 5 days. Interview, choose your hire, and we’ll handle the rest.

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THE RIGHT HIRE IN 3 WEEKS

After You Hire

Onboard, pay, retain

We support onboarding, payroll, and compliance, so your new hire integrates fast and sticks long term.

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Ongoing support & team expansion

Keep hiring with the same speed and quality whenever you need. Your recruiter stays close to support future hires, backfills, or scaling your team.

Interview for Free
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Zero-risk hiring. If you don't make a hire, you don't pay anything.

What Leading Enterprises Say About Near

Sumner Vanderhoof

Sumner Vanderhoof

Co-founder / CEO

Propensity

"

Near was a game-changer for our business. We increased lead generation by 100% with marketing talent from LatAm we hired through Near.

"
Kathy Patterson

Kathy Patterson

Operations Manager

California Consumer Attorneys

"

Near has allowed us to nearly double our caseload without doubling our in-office staff. I have made 9 great hires through Near in just a few short months.

"
Bryan Harris

Bryan Harris

Director

LifeSource Water Systems

"

Near was a great extension of our internal recruiting team—efficient, communicative, and delivered top-tier candidates quickly.

"
Doug Dyer

Doug Dyer

CFO / COO

Chapter One

"

It was our first global hire, and it was a success. Near's team guided us at every step. They connected us with highly-qualified candidates, supported us throughout the whole process, and we made a hire in under three weeks.

"
John Kennedy

John Kennedy

Founder / CEO

Mesa Cloud

"

We were determined to work with global talent in our local time zone, and Near helped us find great Latin American talent that has brought significant value to our team.

"
Jake Breuner

Jake Breuner

VP of Sales

AvantStay - Real Estate

"

After building my team with Near, I wouldn't hire an SDR stateside anymore.

"
Sydney Archer

Sydney Archer

VP of Business Ops

Digital Wildcatters (Oil & Gas Startup)

"

We had a seamless and impressive experience with Near. Their team was helpful and thorough, ensuring we received the most qualified talent for the position we were looking for. We filled the role within 2 weeks! We will be using Near for all of our remote hiring needs.

"
Adrian Alfieri

Adrian Alfieri

Founder & CEO

Verbatim

"

It really just felt like Near was embedded in our team. It felt like we’d hired an in-house recruiter. This made my job really easy.

"
Emily Hauber

Emily Hauber

Director of Communications

CITY | Clean and Simple

"

When we send a job to Near, it takes them about 2 weeks to find candidates and maybe another 2 weeks before the employee starts. They helped us find 2 candidates that took months to fill in the US, and they were GREAT hires.

"
Basil Hameed

Basil Hameed

Human Resources Director

Dynamic EcoHome

"

Working with Near has been fantastic since day 0. They are very communicative and attentive, and they source great candidates while keeping up with our constantly shifting needs and wants.

"

Frequently Asked
Questions

Still have questions? Chat with us

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

How are Near Machine Learning Engineers different?

Where can I find top Machine Learning Engineer candidates?

Is it worth hiring a Machine Learning Engineer?

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How do I hire a Machine Learning Engineer?

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