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

Description

You will shape the future of secure AI by developing innovative tools and threat models for embedded platforms, ensuring that ML pipelines remain resilient and compliant.

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

Tools & Technologies