ML Security Engineer
Tasks
- Build threat models for AI systems
- Collaborate with privacy legal compliance teams
- Define security controls for AI risks
- Design guardrails and content filters
- Drive supply chain security for ML artifacts
- Harden third party AI services
- Implement identity authorization and tenant isolation
- Implement monitoring logging and detection for AI workloads
- Implement runtime detection and response
- Implement sensitive data handling and redaction
- Lead incident response for AI security events
- Lead red team exercises for AI systems
- Secure training and fine tuning pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
Access Controls | Access Management | Adversarial ML | Application Security | Authorization | Cloud Security | Cryptography | Data Integrity | Data exfiltration | Data provenance | Identity and Access Management | Identity and access | Incident Management | Incident Response | Jailbreaks | LLM security | Machine Learning | Prompt injection | Python | Runtime Monitoring | Security Architecture | Tenant Isolation | 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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