The scarcest talent on earth, vetted and ready in days
AI, machine learning and data postings are growing faster than any other category, and qualified candidates are nowhere near keeping up. Ability gives you AI-native engineers and scientists, pre-vetted and ready to interview this week.
Demand is exploding. Supply is not.
AI and data-science job postings rose sharply year over year while the pool of qualified engineers stayed flat. The teams that win are the ones who can access global talent fast, without compromising on quality.
Roles in AI & data
Every professional is vetted to the top 3% by HRAI and a human bar, then screened for your industry’s requirements.
Up to 70% lower than US hire rates
Comparable quality to a US hire, at a fraction of the cost. Figures are illustrative annual, fully-loaded.
| Role | Typical US cost | With Ability | You save |
|---|---|---|---|
| Senior ML Engineer | $180,000 | $54,000 | 70% |
| Data Scientist | $150,000 | $45,000 | 70% |
| MLOps Engineer | $160,000 | $49,000 | 69% |
| Data / Analytics Engineer | $140,000 | $43,000 | 69% |
Why AI teams partner with Ability
AI-native vetting
HRAI screens for real ML depth, not buzzwords, then a human bar confirms it.
Speed to shortlist
A curated shortlist of vetted ML and data talent in days, not months.
Full-stack data teams
From data engineering to MLOps to applied research, staffed as one pod.
Responsible by design
Bias-tested, auditable matching and clear IP and data-handling controls.
From brief to live team in 14 days
Discover
We learn your goals, roles and culture on a focused strategy call.
Match
HRAI sources and vets the top 3%, and you meet a curated shortlist.
Onboard
We set up tools, access and compliance, embedded in your workflow.
Perform
Your team goes live and we manage performance to your outcomes.
Sample profiles, ready to interview
A glimpse of the vetted, top 3% professionals on our AI & data bench.
Ana R.
Marco T.
Leila H.
Kevin O.
Representative profiles. Your shortlist is curated for your exact roles.
How an AI scaleup shipped its model platform with a six-person pod in two weeks
A Series B AI company needed senior ML and MLOps talent immediately, but US hiring would have taken six months and blown the budget.
Ability assembled a managed pod of vetted ML, MLOps and data engineers, embedded directly in the company’s sprints.
The platform shipped on schedule at roughly a third of US cost, and the pod became a permanent extension of the team.
Resources for AI & data leaders
How HRAI assesses real ML depth and filters to the top 3%.
US versus Ability fully-loaded cost across ML, data science and MLOps.
When to staff a managed pod versus hiring in-house.
How we keep matching auditable and your data and IP protected.
Stand up your AI team in days
Tell us the ML and data roles you need. We will show you vetted, AI-native talent ready to interview.