ML Model Security & Privacy Architect(m/w/x)

Description

In this role, you will focus on developing innovative strategies to protect machine learning models and sensitive data, ensuring compliance with security regulations while exploring new ideas and turning them into practical solutions.

Requirements

• •Background in Computer Science, Cybersecurity, or Cryptography
• •Background in Machine Learning and interest in cybersecurity
• •Knowledge of model protection techniques and IP security
• •Familiarity with adversarial ML attacks and defenses
• •Understanding of TEEs and secure enclaves
• •Knowledge of privacy-preserving ML concepts
• •Awareness of regulatory frameworks for AI security and privacy

Tasks

• •Define strategies for protecting ML models and sensitive data
• •Implement solutions for IP protection and privacy-preserving inference
• •Design model obfuscation techniques
• •Develop secure packaging methods
• •Enable secure execution environments using TEEs
• •Assess adversarial ML threats and mitigate risks
• •Define mechanisms for privacy-preserving inference
• •Advise on compliance with AI security and privacy regulations