ML Security Engineer
Tasks
- Build threat models for AI systems
- Collaborate with privacy legal and compliance
- Define security controls for LLM and AI application risks
- Design and deploy guardrails and policy enforcement
- Drive supply chain security for ML artifacts
- Harden third party AI services and open source components
- Implement identity authorization and tenant isolation
- Implement monitoring logging and detection for AI workloads
- Implement runtime detection and response
- Implement sensitive data handling retention and redaction
- Lead incident response for AI security events
- Lead red team exercises and remediation
- Secure training and fine tuning pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
Access Controls | Access Management | Adversarial Machine Learning | Authorization | Cloud Security | Content Filtering | Cryptography | Data exfiltration | Data provenance | Identity and Access Management | Identity and access | Incident Response | Jailbreak | LLM security | Logging | Machine Learning | Policy enforcement | Prompt injection | Python | Red Teaming | Runtime Monitoring | Security Architecture | Supply Chain | Supply chain security | Tenant Isolation | Threat modeling
Education
Roles
AI | AI Security Engineer | Engineer | ML Security Engineer | Security Engineer
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