AI & Machine Learning Engineers
- ML model development
- LLM fine-tuning
Every person is tested on real AI work before you ever see them. You get 3–5 ready-to-interview names.
01 · Roles we place
We place AI specialists across the full AI engineering stack — from research to production.
02 · How we screen
CyberForce HQ runs AI-specific assessments before any candidate reaches you.
Skills and start date.
Real tasks, not buzzwords.
Depth, communication, fit.
3–5 names, ready to talk.
03 · Common questions
Machine learning engineers, data scientists, data engineers, MLOps engineers, AI product engineers, NLP specialists, computer vision engineers, and AI platform engineers.
CyberForce HQ runs AI-specific technical assessments including model design, coding challenges, and role-fit scoring. Our team then reviews each candidate for depth, communication, and delivery readiness.
Yes. We support contract, contract-to-hire, and direct hire placements for AI engineering roles.
Yes. We work inside Fieldglass, Beeline, Coupa, and Workday-managed programs. We follow your rate cards, SLAs, and compliance workflows.
Most AI roles: a screened shortlist in 48–72 hours. Hard-to-find roles may take up to 5 business days.
Tell us the AI role, skills, and start date. We screen with CyberForce HQ and send a qualified shortlist.