How a boutique AI consultancy hired 2 senior ML/data engineers on a tight timeline

The challenge

This was not a straightforward hiring search. The role sat at the intersection of ML engineering, data engineering, and cloud infrastructure, which made it difficult to fill with generic recruiting channels.

The consultancy needed candidates who were not only technically strong, but also comfortable working in a lean, fast-moving environment with minimal oversight. Speed mattered, but quality mattered more: the wrong hire would slow down delivery at exactly the wrong time.

How Eventum helped

Eventum worked closely with the client to refine the profile beyond a standard job description. Instead of screening for surface-level keyword matches, the search focused on practical, production-ready experience: engineers who had actually built and operated data pipelines, containerized services, and Kubernetes-based systems at scale.

From there, Eventum ran a targeted search and delivered a curated shortlist of high-signal candidates in a short period of time. The process emphasized technical fit, communication ability, autonomy, and readiness to step into a live consulting environment.

The outcome

The client ultimately hired two engineers through Eventum. Both hires proved to be strong fits for the engagement and helped expand the consultancy's capacity to deliver on specialized ML and infrastructure work.

The search showed that even for niche technical roles, it is possible to move quickly without compromising on talent quality when the process is focused and technically informed.

Conclusion

When specialized AI teams need to scale quickly, speed alone is not enough. They need engineers who can contribute right away, work independently, and handle real production systems. That is exactly where Eventum added value: by finding high-quality technical talent fast, and turning a difficult search into two successful hires.

Eventum moved quickly and brought us genuinely strong candidates for a difficult technical role. The process was efficient, the talent quality was high, and we ultimately made two hires who have both worked out well.

— Founder, boutique AI consultancy