Assess practical AI skills with end-to-end ML project simulations. Screen AI engineers and data scientists on their ability to validate models, mitigate bias, and communicate complex findings. Test candidates through immersive scenarios involving MLOps tasks, stakeholder presentations, and ethical reviews of GenAI outputs. Hire and upskill innovators who can not only build models but also deploy them responsibly and create real business value.