Embedded AI Platform Security Engineer (AI)

TL;DR

Embedded AI Platform Security Engineer (AI): Developing cutting-edge security solutions for Machine Learning models and systems to be integrated into Edge products with an accent on model protection, privacy-preserving ML, and anomaly detection. Focus on building security scanning tools, designing secure APIs for embedded platforms, and performing threat modeling for ML pipelines.

Location: Hybrid in Gratkorn, Austria; Glasgow, UK; or Leuven, Belgium. Home office and flexible working time available.

Company

hirify.global is a corporation focused on exploring cutting-edge concepts at the intersection of Machine Learning and Security for integration into Edge products.

What you will do

• Build security scanning tools for ML artifacts and deployment workflows.
• Design secure APIs for model integration on embedded platforms.
• Perform threat modeling for ML systems (poisoning, evasion, prompt injection).
• Implement monitoring solutions for model integrity and anomaly detection.
• Ensure compliance with NIST AI Risk Management Framework and similar standards.
• Collaborate with internal teams to integrate security checks into development pipelines.

Requirements

• Background in Computer Science, Cybersecurity, Cryptography, or Machine Learning with strong interest in the other domain.
• Strong Python development for automation and tooling.
• Experience with threat modeling methodologies adapted for ML systems.
• Knowledge of adversarial ML attacks and defenses.
• Familiarity with secure API design and integration.
• Understanding of compliance frameworks (NIST AI RMF, ISO/IEC AI security standards).
• Conscious and reliable way of working is necessary due to security-related tasks and certifications.

Culture & Benefits

• Market competitive compensation.
• Home office and flexible working time.
• Meal benefits.
• Join an Innovation Team exploring cutting-edge concepts.