AI Security Engineer
Tasks
- Advance AI security testing and research
- Automate AI security testing and validation
- Collaborate with cross-functional teams to align security initiatives
- Conduct threat modeling and risk assessments
- Create adversarial evaluation workflows
- Develop security plans and risk metrics
- Establish AI governance, privacy, third-party risk management
- Implement monitoring, detection, incident response for AI systems
- Integrate security controls into MLOps/MLSecOps pipelines
- Inventory and document AI initiatives and architecture
- Lead AI security architecture design
- Monitor emerging AI security trends and regulations
Perks/Benefits
- N/A
Skills/Tech-stack
AI Engineering | AI Security | AI threat defenses | AWS | Adversarial ML | Anomaly Detection | Application Security | Automation | Azure | Cloud Security | Container Security | DevSecOps | IAM | Incident Response | ML/AI | ML/AI engineering | MLOps | Monitoring | Risk Assessment | SIEM SOC | Secrets management | Security Architecture | Security tooling | Threat modeling
Education
Bachelor's in Computer Science | Cybersecurity | Data Science | Engineering
Roles
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