AI & Machine Learning Engineers
- ML model development
- LLM fine-tuning
- Computer vision
- NLP pipelines
AI Engineering Staffing
AI engineering staffing.
ML engineers, data scientists, and AI product builders.Hiring AI talent is different. We screen for real AI depth — model design, data engineering, MLOps, and production deployment — not just keyword matches. You get a small, qualified shortlist ready to interview.
400+
Engineers in network
85%+
Interview advance rate
3–5
Profiles per shortlist
<48 hrs
VMS onboarding
01 · Roles we place
AI and ML roles we staff.
We place AI specialists across the full AI engineering stack — from research to production.
Data Scientists & Data Engineers
- Feature engineering
- Data pipeline development
- Analytics
- Model evaluation
AI Product & Platform Engineers
- AI agent development
- RAG systems
- AI copilot integration
- Prompt engineering
MLOps & AI Infrastructure
- Model deployment
- ML pipelines
- GPU infrastructure
- Monitoring & observability
02 · How we screen
How we qualify AI talent.
CyberForce HQ runs AI-specific assessments before any candidate reaches you.
Request comes in
You tell us the AI role, skills, and start date.
AI-assisted screening
CyberForce HQ runs technical assessments, coding tests, and AI-specific role-fit scoring.
Human review
Our team reviews every candidate for AI depth, communication, and delivery readiness.
Shortlist delivered
You receive 3–5 qualified AI engineering candidates, ready to interview.
03 · Common questions
Frequently asked questions.
What AI roles do you staff?
Machine learning engineers, data scientists, data engineers, MLOps engineers, AI product engineers, NLP specialists, computer vision engineers, and AI platform engineers.
How do you screen AI engineering candidates?
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.
Can you place AI engineers for contract and full-time roles?
Yes. We support contract, contract-to-hire, and direct hire placements for AI engineering roles.
Do you work inside MSP and VMS programs?
Yes. We work inside Fieldglass, Beeline, Coupa, and Workday-managed programs. We follow your rate cards, SLAs, and compliance workflows.
How fast can you send AI engineering candidates?
For most AI roles, we send a screened shortlist within 3 to 5 business days. Specialized roles may take up to 7 days.
Get started
Need qualified AI engineering talent?
Send your request. We screen for real AI depth.
Tell us the AI role, skills, and start date. We screen with CyberForce HQ and send a qualified shortlist.
Need AI delivery, not just staffing? Explore AI & Automation Services →