Data & AI Recruiting
Architecting the intelligent enterprise. We connect you with the minds building the future.
Engineering Intelligence
In the fast-paced world of AI, finding the right talent isn't just about sourcing resumes; it's about understanding the technology and the skills required to drive innovation.
The Problem with Traditional Recruiting
Hiring for highly specialized roles in artificial intelligence is notoriously difficult. Many recruiters lack the technical depth to accurately screen candidates, leading to wasted time on unqualified applicants who simply know the keywords but not the craft.
Our Solution: A Two-Step Vetting Process
At The Kas Group, we believe technical expertise deserves to be evaluated by a technical expert. Our process is simple and transparent:
- 1
Strategic Sourcing: We leverage our extensive network to find top-tier candidates who possess the right background and cultural fit.
- 2
Technical Validation: Our technical partner conducts an in-depth interview to validate skills, knowledge, and real-world problem-solving abilities.
Capabilities We Scout
- Head of AI / Chief Data Officer
- Machine Learning Engineers
- Data Scientists (NLP/LLM focus)
- AI Architects
- Data Infrastructure Engineers
- Product Managers - AI/ML
"Finding an ML Architect who understood our specific constraints seemed impossible until we worked with The Kas Group." — CTO, FinTech
Derek, Ph.D.
Chief Technical Vetting Partner
Expert-Led Technical Vetting
Meet Derek, our lead technical vetting partner. He trained as a Statistician, and his work experience has had a strong consulting focus, ranging from developing advanced analytics and machine learning models to leading clients in the "Art of Possible".
Currently the Chief Technology Officer at Life2, inc., Derek is designing and putting advanced analytics and machine learning into production for healthcare clients. He is also the founder of the Atlanta R Users Group.
Education
Bachelors, Masters, and PhD (ABD) in Statistics with a focus in Financial Econometrics and Applied Computational Statistics (Data Mining).
Microsoft Background
5 years as Global Lead Data Scientist, Architect, and Industry Digital Strategist in Microsoft Engineering and Consulting Services.
"Derek’s experience began with a focus in Financial Econometrics and Applied Computational Statistics. He has developed models for predicting fraud, lifetime value, and market share across hospitality, telco, credit risk, and healthcare domains."