TRUSTED BY TEAMS WHOSE CLOUDTASK HIRES HAVE STAYED 5 TO 8 YEARS

The problem

Where this breaks.

Four failure modes we see in teams that went without an AI and ML engineer for too long.

The prototype works and nothing else does

A notebook that produces a good result is not a system anyone can depend on.

There is no way to tell if it got better

Without evaluation, model changes get argued rather than measured.

Data work is underestimated every time

Most of the effort is pipelines, labeling and quality, and it lands on whoever is nearest.

The pilot never leaves the notebook

A model that works on a laptop and never reaches production is a cost, not a capability. Somebody has to own the path to deployment.

How CloudTask helps

Someone who owns the outcome, not just the ticket.

Most searches start from people we already know. The rest we go and find.

Model work verified beyond the notebook

Candidates are assessed on training, evaluation and deployment, plus the frameworks and platforms they claim. We work a marketplace of vetted professionals across 12 LATAM countries, and when your brief is specific our recruiting network in the region runs the search for it.

  • 12 LATAM countries
  • Pre-vetted
  • English screened

Systems that survive production data

Engineers who build monitoring and evaluation so quality is observed, not assumed.

  • Evaluation
  • Deployment
  • Monitoring

One rate, and cover for 6 months

One all-in monthly rate per person, covering pay, compliance, payroll and ongoing managed support. Free replacements for 6 months.

  • Payroll
  • Compliance
  • Managed support

How it works

Post on Monday. Interview by Wednesday.

You do one thing: interview. We handle everything else.

1

Post the role

Five minutes. The role, the motion, the tools, the comp band. That is all we need to start.

2

Review your matches

Three to five matches in 48 hours.

3

Interview and hire

We coordinate interviews, then handle payroll and compliance across LATAM.

The AI question

The models are not the reason AI projects fail.

MIT's NANDA study found 95% of generative AI pilots produced no measurable business return, and only 5% of custom enterprise tools reached production. The cause was integration and workflow, not model quality. (MIT NANDA, 2025)

Swipe to compare

AI on its own
Prototyping a model in a notebook
Deciding whether the problem needs a model at all
Evaluating against real data instead of a benchmark
Keeping it working once the data drifts
Owning the outcome the business was promised
CloudTask operator at work

Retention, engineered.

CloudTask hires are full-time professionals who build careers inside your company, scored for long-term fit before you ever see them.

10,500+

Hires placed

Over 10 years

24+ months

Average tenure

Our retention sweet spot

Testimonials

Why our customers stay 5 to 8 years.

Real leaders. Real tenure. Real retention.

  • LATAM has been a gold mine for talent. Our CloudTask hires understand our company culture and mission, and they connect with our customers in a way that drives high NPS and CX scores.
    David Barrett
    David Barrett CEO, Expensify
    Expensify
  • At first we were an SF-based team only. Then I met Amir Reiter back in 2018. After visiting Medellín, I knew LATAM would be key to our growth and success.
    Tim Zheng
    Tim Zheng CEO, Apollo.io
    Apollo
  • We built some of the best revenue teams in Nicaragua and Colombia. Those teams ultimately contributed to our successful sale to Ericsson.
    Dharmesh Shah
    Dharmesh Shah VP Inside Sales, Vonage
    Vonage
  • After meeting my CX and CS team in Medellín, we immediately loved the culture and the work ethic. As a European-HQ company, we found LATAM to be perfect to service our American clients.
    Carl Carell
    Carl Carell CRO and Co-founder, GetAccept
    GetAccept

FAQ

Hiring AI and ML Engineers with CloudTask.

Do you already have ai and ml engineers, or do you go and find them?
Both. Most searches start from professionals already in our marketplace across 12 LATAM countries. When the brief is specific, our recruiting network in the region runs a dedicated search for it. Either way, first matches land within 48 hours.
We already use AI tools. Why do we need another person?
Because the constraint moved. Autonomous coding agents raised commit volume by 180% while releases rose only 30% (NBER, 2026). The volume of output went up. Review, judgment and ownership are what is scarce now.
How fast will I see candidates?
Three to five matches in 48 hours once you have described the role, the tools and the ownership you expect.
What does it cost to start?
$299 to start your search. From there you choose Direct Hire or Managed Staffing on the pricing page.
What happens if the hire does not work out?
Free replacements for 6 months, on both hiring models.

Ready to hire AI and ML Engineers?

Three to five matches in 48 hours. $299 to start your search.