Hire a ML Engineer.

ML engineers productionize models — the pipelines, serving infrastructure, and evaluation loops that turn a notebook into a system. This is one of the tightest markets we work, and the biggest risk is title inflation: many candidates labeled ML engineers have only fine-tuned via API. Our screens test for real production signal — feature pipelines, model monitoring, rollback strategy — and we tell you honestly when the budget buys an LLM application engineer rather than a deep ML systems hire.