ML Model Security & Privacy Architect

TL;DR

ML Model Security And Privacy Architect (AI): Defining strategies and implementing solutions for protecting ML models and sensitive data during deployment with an accent on IP protection, privacy-preserving inference, and resilience against adversarial manipulation. Focus on designing secure execution environments, mitigating adversarial threats, and advising on AI security and privacy regulations.

Location: Onsite in Gratkorn, Bucharest, Eindhoven, Leuven, or Glasgow

Company

hirify.global is a world leader in secure connectivity solutions for embedded applications, enabling a smarter, safer, and more sustainable world through innovation.

What you will do

• Design and implement model obfuscation and secure packaging techniques.
• Develop IP protection strategies for ML models.
• Enable secure execution environments using TEEs for customer models.
• Assess and mitigate adversarial ML threats.
• Define privacy-preserving inference mechanisms like differential privacy.
• Advise on compliance with AI security and privacy regulations (GDPR, EU AI Act).

Requirements

• Strong background in Computer Science, Cybersecurity, or Cryptography with interest in applied ML, OR a background in Machine Learning with an interest in cybersecurity.
• Knowledge of model protection and IP security techniques.
• Familiarity with adversarial ML attacks and defenses.
• Understanding of TEEs and secure enclaves.
• Knowledge of privacy-preserving ML concepts (differential privacy, federated learning basics).
• Awareness of regulatory frameworks for AI security and privacy.

Culture & Benefits

• Opportunities for career development through online and offline learning.
• Commitment to sustainability and innovative solutions.
• Focus on diversity, inclusion, and equality in the work environment.