TL;DR
ML Security Tools & Threat Modeling Engineer (AI): Develops security tools and frameworks for ML workflows and performs threat modeling for ML pipelines with an accent on proactive vulnerability detection and compliance with emerging ML security standards. Focus on building secure AI systems, exploring new ideas, and turning concepts into prototypes for integration into Edge products.
Location: Onsite in Gratkorn, Eindhoven, or Leuven
Company
hirify.global explores cutting-edge concepts at the intersection of Machine Learning and Security to develop forward-looking solutions for 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, or Cryptography with a strong interest in applied ML, OR a background in Machine Learning with an interest in cybersecurity.
- 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
- Join an Innovation Team exploring cutting-edge concepts.
- Opportunity to develop forward-looking solutions for Edge products.
- Role requires high-level innovation skills combined with a hands-on mindset.
- Work on building secure AI systems and turning concepts into prototypes.
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