Senior Embedded AI Platform Security Engineer

TL;DR

Senior Embedded AI Platform Security Engineer (AI Security): Developing forward-looking security solutions for Machine Learning and integrating them into Edge products with an accent on model protection, privacy-preserving ML, and anomaly detection. Focus on building security tools for ML artifacts, designing secure APIs for embedded platforms, and performing threat modeling for ML systems.

Location: Onsite in Glasgow (UK), Gratkorn (Austria), or Leuven (Belgium).

Company

hirify.global N.V. is a world leader in secure connectivity solutions for embedded applications, innovating for a smarter, safer, and more sustainable world.

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, including poisoning, evasion, and 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 an interest in the respective complementary field.
• 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).

Culture & Benefits

• Opportunities for career development with online and offline learning.
• Commitment to sustainability and measurable year-on-year progress.
• Inclusive work environment with programs for diversity, inclusion, and equality.