Home Data & AI Talent Machine Learning Engineer

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.

A collection of images featuring individuals seated in chairs, showcasing diverse expressions and environments.

Trusted by 950+
fast-growing companies

deel logotype
expensify logotype
function logotype
ramp logotype
chili piper
the agency logo
avantstay logotype
deel logotype
expensify logotype
function logotype
ramp logotype
chili piper
the agency logo
avantstay logotype
deel logotype
expensify logotype
function logotype
ramp logotype
chili piper
the agency logo
avantstay logotype
g2 icon 4.9 star rating

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.

arrow icon
Play video
03:22

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:

Content coming soon

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

Victor L.
Victor L.

Data Scientist

Brazil

Seniority

Senior / C-Level

Skills & Tools

Javascript
Statistical Data Analysis
Data Scientist
Eric H
Eric H

Mid Level Data Engineer

Brazil

Seniority

Mid Level

Skills & Tools

Data Lakes
Data Engineer
Brian B.
Brian B.

Data Manager

Brazil

Seniority

Associate

Skills & Tools

PowerBI
Leandro M.
Leandro M.

Data Engineering Manager

Brazil

Seniority

Senior / C-Level

Skills & Tools

GCP
Azure
PowerBI
Hadoop
Data Engineer
Ana G.
Ana G.

Python Programmer

Brazil

Seniority

Mid Level

Skills & Tools

Python
SQL
Justo S.
Justo S.

Head of Data and Analytics

Chile

Seniority

VP

Skills & Tools

PowerBI
Belen G.
Belen G.

Airtable Specialist

Bolivia

Seniority

Associate

Skills & Tools

Email Marketing
Airtable
Klaviyo
Zapier
Milagros H.
Milagros H.

Junior Data Analyst

Argentina

Seniority

Entry Level

Skills & Tools

Tableau
Statistical Data Analysis
Data Visualization
Matias C.
Matias C.

Senior Data Analyst

Argentina

Seniority

Mid Level

Skills & Tools

MS Excel
Luis S.
Luis S.

Data Scientist

Nicaragua

Seniority

Entry Level

Skills & Tools

ETL Softwares
Data Reporting
Data Scientist

Why Hire LatAm Machine Learning Engineers with Near?

decoration icon

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.

triangle icon

Risk-Free Hiring

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

decoration icon

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.

a close up of a black and white striped wallpaper with a clock
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.

arrows pointing to the left bottom on a black background

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
a close up of a black and white checkered floor with a clock
shield icon

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

What Leading Enterprises Say About Near

Gisela Piñeiro

Gisela Piñeiro

Operations Manager

Stull CPA

"

Near helped us take the burden of recruiting off our team—especially during tax season, when every hour counts. The quality of candidates has been phenomenal.

"
Seema Chacko

Seema Chacko

CFO

CyberFortress

"

We hired 20 team members who share our core values: great attitude and desire to learn, resourcefulness, and adaptability. Near’s team was very responsive, and their easy-going communication fostered a seamless hiring process, helping us save $1.2M.

"
Tawnya Morse

Tawnya Morse

Client Services Manager

Conversion Logix

"

The time savings and quality of candidates have been outstanding. Communication was also seamless, making it easy to work with Near.

"
John Kennedy

John Kennedy

Founder / CEO

Mesa Cloud (EdTech platform)

"

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.

"
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.

"
Conor Chamness

Conor Chamness

Head of M&A

Dura Software

"

Near was a low-risk, high ROI way to source finance talent. In under two weeks, we hired a Corporate Development Analyst with an MBA and managed to hit our acquisition goal for the year.

"
Kimberly Gonzalez

Kimberly Gonzalez

Operations Manager

Vanreusel Ventures

"

Near takes care of the entire hiring process for us. All we have to do is interview the best 3 candidates and decide.

"
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.

"
Sheena Malson

Sheena Malson

Director of Accounting

FinanceWithin

"

The talent pool we’ve received from Near has been outstanding—far beyond what I could find on my own through LinkedIn or traditional recruiting. The entire process has been a pleasure.

"
Segdrick Byrd

Segdrick Byrd

VP of Client Services

ORBA Cloud CFO

"

Near helped ensure we were selecting the right people for our team. The ability to interview multiple candidates and watch video recordings of the interviews before making a decision was a very strong point for Near.

"

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?

What should I look for when hiring a Machine Learning Engineer?

How do I hire a Machine Learning Engineer?

Discover Nearshore Hiring Benchmarks and Trends. Download the FREE Report Now.

2025 benchmark hiring report