ML Security Engineer
Tasks
- Build threat models for AI systems
- Coordinate with privacy legal and compliance teams
- Define and implement security controls for AI and LLM risks
- Design and deploy guardrails for model endpoints
- Design sensitive data handling retention and redaction controls
- Develop monitoring logging and detection for AI workloads
- Drive supply chain security for ML artifacts
- Evaluate and harden third party AI services
- Implement identity authorization and tenant isolation patterns
- Implement runtime detection and incident response for adversarial prompts
- Lead incident response for AI specific security events
- Lead red team exercises and remediation
- Secure training and fine tuning pipelines
Perks/Benefits
Skills/Tech-stack
Access Controls | Access Management | Adversarial Machine Learning | Authorization | Cloud Security | Content Filtering | Cryptography | Data Integrity | Data exfiltration | Data provenance | Detection engineering | Identity and Access Management | Identity and access | Incident Response | Jailbreak | LLM security | Logging | Machine Learning | Model abuse | Policy enforcement | 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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