ML Security Engineer
Tasks
- Build AI threat models
- Collaborate with Privacy, Legal, and Compliance teams
- Define security controls for LLM risks
- Design guardrails and policy enforcement
- Develop monitoring logging and detection for AI workloads
- Drive supply chain security for ML artifacts
- Harden third party AI services and open source components
- Implement identity authorization and tenant isolation
- Implement runtime detection and response
- Implement sensitive data handling and redaction
- Lead AI red team exercises and remediation
- Lead incident response for AI security events
- Secure training and fine tuning pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Adversarial Machine Learning | Application Security | Cloud Security | Cryptography | Data Integrity | Data exfiltration | Data provenance | Differential Privacy | Identity and authorization | Incident Response | Machine Learning | Monitoring and Logging | Prompt injection | Python | Runtime detection | Security Architecture | Supply Chain | Supply chain security | Threat modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Security Engineer | Engineer | ML Security Engineer | Security Engineer
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