David runs every Beacon leadership search personally, including AI/ML and data leadership placements.
AI/ML recruiting has become its own discipline, not just a flavor of general engineering recruiting. 53% of US tech postings now require AI or ML skills, and evaluating that talent takes a genuinely different playbook.
See the playbookAI/ML and data science postings grew 163% year over year, and demand for AI governance skills alone is up 150%. That pace of change means the evaluation bar keeps moving, and a generalist technical recruiter can't reliably tell the difference between a candidate who's shipped real production ML systems and one who's fluent in the vocabulary without the depth.
Knowing the real difference between a notebook model and a system other teams depend on in production.
In healthcare, finance, and other regulated spaces, technical skill alone isn't enough, real compliance judgment matters.
The strongest AI/ML talent is rarely job-searching. This market moves on outreach, not postings.
Our own fastest engineering search, 43 days, was an AI/ML leadership hire, proof that speed and rigor aren't mutually exclusive here.
This isn't a search you can run the same way you'd run a general backend engineering search. The requirement moves too fast, and the gap between real and resume-deep is too easy to miss without direct technical evaluation.
David runs every Beacon leadership search personally, including AI/ML and data leadership placements.
Book a 15-minute call, no commitment, and we'll tell you what the market looks like for your stage.
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