Frequently asked questions
Real answers to the questions enterprise hiring teams actually ask before they engage a premium talent intermediary.
Frequently asked questions
How do you vet specialists?
Two layers of institutional-grade assessment, scored on evidence across four dimensions. Layer one verifies technical depth (structured assessment) and delivery evidence (documented enterprise outcomes). Layer two assesses consulting capability (scoping and stakeholder communication) and compliance readiness (references, background, contract maturity). Six out of seven applicants don't clear the 75/100 pass mark.
How do you deliver a shortlist in 72 hours?
Because the vetting is already done. Our bench is curated, not assembled on demand. When you brief us, we score for technical fit, delivery-phase relevance, and consulting capability, and we send the two or three closest matches as blind CVs. We never pad shortlists.
How does the shortlist arrive?
Your shortlist arrives as blind CVs by default, so seniority and fit are read on substance rather than on a name. If your brief involves sensitive details about the project, the team or the IP, a preliminary NDA is available on request as a service.
How does remote access work? Can you support VDI / Citrix environments?
Yes. Most of our enterprise placements operate in in regulated remote environments such as VDI or Citrix environments, we expect it. We confirm access requirements in the brief and ensure every specialist sent to your shortlist has the hardware, network, and operational discipline to deliver in regulated remote conditions.
How do you handle compliance and contracting?
Mahala.ai is a Dutch B.V. registered in the Netherlands. All client engagements run through a single commercial contract: NDA, IP transfer / assignment, commercial terms, issued by Mahala. You receive one monthly invoice. We carry the operational complexity of cross-border specialist engagement so you don't have to.
What if the specialist doesn't work out?
If the fit is not right in the first month, we will replace. We treat that as part of the service rather than as a heroic guarantee.
What roles do you cover?
Senior Data Engineering, Data Science & Analytics, AI / ML Engineering, and MLOps / AI Infrastructure. Within those disciplines, we routinely place specialists in roles spanning production pipelines and platforms, risk and fraud modeling, production ML and GenAI, and the infrastructure required for model deployment, observability, and governance.
What countries do you serve?
Headquartered in the Netherlands, with active engagement across Europe and the GCC. The UAE is a priority market: Abu Dhabi first. We're set up commercially and operationally to serve both regions.
What's the typical engagement length?
Most engagements run 3 to 12 months, with full-time or part-time commitment depending on the project phase. Some specialists stay on extended retainers for multi-year programs. We don't lock you in beyond what makes sense for the work.
How do your rates work?
Senior delivery is priced on a day rate or hourly rate, depending on the engagement model. Rates reflect seniority, scarcity, and the consulting capability our specialists bring. We share rate ranges during the first call. We don't compete on price; we compete on certainty.