Corporate Vice President -AI/ML Security Operations Engineer
Tasks
- Automate security controls with infrastructure-as-code
- Build AI guardrails
- Create reusable enterprise security standards
- Define secure-by-default patterns
- Implement identity access controls for ML
- Integrate ML security into CI CD
- Protect ML supply chain integrity
- Secure ML lifecycle
- Secure agentic AI tool invocation
- Support regulated environment risk and audit requirements
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Authentication | Authorization | Azure Machine Learning | CI/CD | Cloud Build | Cloud Custodian | Cloud IAM | Conftest | Data exfiltration | Data poisoning | Detection engineering | GitHub Actions | GitLab CI | Google Cloud | IAM | Identity Federation | Indirect Prompt Injection | Inference Abuse | Infrastructure as Code | Least Privilege | Log Analysis | MLOps | Machine Learning | Model Registry | Model theft | OPA | OPA/Rego | Offline Serving | Online Serving | Policy-as-Code | Prompt injection | Python | Rego | SBOM | SLSA | SageMaker | Secrets management | Secure API | Secure API Design | Service accounts | Signed Artifacts | Terraform | Training Data Exfiltration | Training data | Vertex AI | Workload Identity | Workload Identity Federation | “as-code”
Education
Regions
Countries
States
Cities
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