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

Requirements

• Background in Computer Science, Cybersecurity, Cryptography, or strong interest in applied ML
• Background in Machine Learning and interest in cybersecurity
• Strong Python development for automation and tooling
• Experience with threat modeling methodologies for ML systems
• Knowledge of adversarial ML attacks and defenses
• Familiarity with secure API design and integration
• Understanding of NIST AI RMF or ISO/IEC AI security standards

Tasks

• Build security scanning tools for ML artifacts
• Develop security frameworks for BYOM workflows
• Design secure APIs for embedded model integration
• Perform threat modeling for ML systems
• Implement monitoring for model integrity and anomalies
• Ensure compliance with NIST AI Risk Management standards
• Integrate security checks into development pipelines
• Detect vulnerabilities in ML deployment workflows

Work Experience

Education

Languages

Tools & Technologies