Secure AI Engineer
USA, MD, Fort Meade (6910 Cooper Ave), United States
USD 86K-198K Mid-level Full Time Found 5d ago
Tasks
- Design secure AI/ML architectures
- Develop secure deployment frameworks
- Embed security by design in AI projects
- Ensure compliance with AI regulations
- Implement AI security strategies
Perks/Benefits
- Disability benefits
- Financial benefits
- Health benefits
- Life benefits
- Paid leave
- Professional development
- Retirement benefits
- Tuition assistance
- Work-life programs
Skills/Tech-stack
AI Security | AI security standards | AWS | Adversarial ML | Azure | Cloud Architecture | Cloud Security | Cybersecurity | Differential Privacy | Federated Learning | GCP | Kubeflow | MLOps Tools | MLflow | Model Security | Model security testing | Privacy-Preserving ML | Privacy-preserving | Regulatory Frameworks | SageMaker | Secure Software | Secure Software Development | Security Automation | Security Testing | Security standards | Software development | Threat modeling
Education
Roles
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