ML Security Engineer
Tasks
- Build AI threat models
- Collaborate on privacy legal and compliance requirements
- Define security controls for LLM and AI applications
- Deploy guardrails and content filters
- Design sensitive data handling and redaction
- 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
- Lead incident response for AI security events
- Lead red team exercises and remediation
- Secure training and fine tuning pipelines
- Stay current with LLM security research
Perks/Benefits
Skills/Tech-stack
Access Control | Access Management | Application Security | Cloud Security | Content Filtering | Cryptography | Data Integrity | Data exfiltration | Data provenance | Identity and Access Management | Identity and access | Incident Response | LLM security | Model abuse | Monitoring and Logging | Prompt injection | Python | Runtime detection | Security Engineering | Tenant Isolation | Threat modeling
Education
Roles
AI | AI Security Engineer | Engineer | ML Security Engineer | Security Engineer
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