VP of Applied Science

Tasks

• Champion responsible trustworthy AI
• Collaborate with global customers
• Communicate technical vision and roadmap
• Connect science outcomes to business metrics
• Ensure model governance and compliance
• Influence identity security business strategy
• Initiate plan and drive AI projects
• Lead applied science team
• Own trade offs between research and delivery
• Set applied AI technical direction

Perks/Benefits

• Career growth opportunities
• Collaboration culture
• Flexible work arrangements
• Learning initiatives

Skills/Tech-stack

Adversarial Networks | Anomaly Detection | Bias Mitigation | Biometrics | Computer Vision | Deep learning | Explainability | Fairness | Fraud Detection | Generative AI | Generative Adversarial Networks | Machine Learning | Model Governance | Privacy-preserving | Privacy-preserving machine learning