AI Security Engineer
Tasks
- Build threat models for AI systems
- Define and implement AI security controls
- Design and deploy model guardrails and policy enforcement
- Design sensitive data handling retention and redaction controls
- Develop monitoring logging and detection strategies
- Drive supply chain security for ML artifacts
- Evaluate and harden third party AI services and open source components
- Implement identity authorization and tenant isolation
- Implement runtime detection and incident response
- Lead incident response for AI security events
- Lead red team exercises and remediation
- Secure training and fine tuning pipelines
- Stay current with adversarial ML and LLM security research
Perks/Benefits
- N/A
Skills/Tech-stack
Access Controls | Access Management | Adversarial Machine Learning | Application Security | Authorization | Cloud Security | Cryptography | Data Exfiltration Detection | Data Integrity | Data exfiltration | Data provenance | Exfiltration detection | Identity and Access Management | Identity and access | Incident Response | Language Models | Large Language Models | Machine Learning | Prompt injection | Python | Runtime Monitoring | Rédaction | Security Architecture | Security Logging | Security Research | Security monitoring | Supply Chain | Supply chain security | Tenant Isolation | Threat modeling
Education
Roles
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