Overview
AI/ML hiring requires more than keyword matching — real applied experience with model training, deployment, and evaluation looks very different from academic research. Our AI talent practice vets candidates specifically for production ML experience, not just familiarity with the tools.
How It Works
1
Define the AI/ML capability gap you need to fill
2
Our matching engine and technical recruiters shortlist candidates
3
Candidates complete a technical screen relevant to your stack
4
You interview a shortlist that's already been technically vetted
Key Benefits
Candidates vetted for real applied ML experience, not just theory
Coverage across ML engineering, MLOps, and applied research
AI-powered matching layered with human technical screening
Fast access to a growing, competitive talent pool
Ideal For
• Companies building their first ML team
• Scaling an existing AI/ML function
• Projects needing specialized skills like MLOps or LLM fine-tuning