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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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fast-growing companies

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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.

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

Barbara H.
Barbara H.

Barbara H. from Perú

Seniority

Entry Level

Skills & Tools

Ops
No Code
Matias C.
Matias C.

Matias C. from Argentina

Seniority

Mid Level

Skills & Tools

MS Excel
Victor L.
Victor L.

Victor L. from Brazil

Seniority

Senior / C-Level

Skills & Tools

Javascript
Statistical Data Analysis
Data Scientist
Marilina V.
Marilina V.

Marilina V. from Mexico

Seniority

Mid Level

Skills & Tools

Data Lakes
Data Management
Data Scientist
Milagros H.
Milagros H.

Milagros H. from Argentina

Seniority

Entry Level

Skills & Tools

Tableau
Statistical Data Analysis
Data Visualization
Andy Q.
Andy Q.

Andy Q. from Perú

Seniority

Mid Level

Skills & Tools

GCP
Scala
Data Engineer
Belen G.
Belen G.

Belen G. from Bolivia

Seniority

Associate

Skills & Tools

Email Marketing
Airtable
Klaviyo
Zapier
Manuel P.
Manuel P.

Manuel P. from Mexico

Seniority

Associate

Skills & Tools

PowerBI
MS Excel
Tableau
Pandas
Luis S.
Luis S.

Luis S. from Nicaragua

Seniority

Entry Level

Skills & Tools

ETL Softwares
Data Reporting
Data Scientist
Ana G.
Ana G.

Ana G. from Brazil

Seniority

Mid Level

Skills & Tools

Python
SQL

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%

Hire With Near's Proven Hiring Process

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 Hire With Near

Sumner Vanderhoof

Sumner Vanderhoof

Co-founder / CEO at Propensity

"

Hire With Near was a game-changer for our business hiring strategy. We reduced our burn rate and quadrupled our team skill level with marketing talent from LatAm.

"
Kathy Patterson

Kathy Patterson

Operations Manager at California Consumer Attorneys

"

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

"
Basil Hameed

Basil Hameed

Human Resources Director at Dynamic EcoHome

"

Working with Hire 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.

"
Ashley Black

Ashley Black

Ex-Head of Sales @ Google | Founder at Candid Consulting

"

The talent Hire With Near provided is incredibly high quality. I worked at Google for 10 years, where the bar for talent is very high, and I would say the people I placed through Hire With Near are comparable to the people I worked with at Google.

"
John Kennedy

John Kennedy

Founder / CEO at Mesa Cloud (EdTech platform)

"

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

"
David Arato

David Arato

Founder & CEO at Lexicon

"

Partnering with Hire With Near saved us $43k annually in overhead costs and reduced our hiring timeline by up to three months.

"
Joshua Thompson

Joshua Thompson

Partner and COO at Kordis

"

Hire With Near provides an easy hiring experience. They saved me a lot of time handling all the posting, sourcing, screening, and initial interviews. All I have to do is conduct final interviews to ensure cultural alignment. I made a hire in only 14 days.

"
Miles Eggart

Miles Eggart

COO at FinanceWithin

"

Partnering with Hire With Near has been a major win. The speed, the talent pool, and the overall quality have not only met but actually raised our hiring expectations.

"
Gisela Piñeiro

Gisela Piñeiro

Operations Manager at Stull CPA

"

Hire With 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.

"
Emily Hauber

Emily Hauber

Director of Communications at CITY | Clean and Simple

"

When we send a job to Hire With 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.

"

Frequently Asked
Questions

Still have questions? Chat with us

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