Junior Embedded AI Platform Security Engineer(m/w/x)

Requirements

• Background in Computer Science, Cybersecurity, or Cryptography with strong interest in applied ML, OR background in Machine Learning with interest in cybersecurity
• Strong Python development for automation and tooling
• Experience with ML systems threat modeling methodologies
• 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

Tasks

• Develop security tools and frameworks for BYOM workflows.
• Perform threat modeling for ML pipelines.
• Proactively detect vulnerabilities.
• Ensure compliance with emerging ML security standards.
• Build security scanning tools for ML artifacts and deployment.
• Design secure APIs for embedded model integration.
• Perform threat modeling for ML systems (poisoning, evasion, prompt injection).
• Implement monitoring for model integrity and anomaly detection.
• Comply with NIST AI Risk Management Framework and standards.
• Integrate security checks into development pipelines.

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