AI Security Engineer
ILS 224K-280K (estimate) Mid-level Full Time
Tasks
- Conduct threat modeling for AI/ML systems
- Design and implement end to end security controls for ML AI pipeline
- Implement access control for models and feature stores
- Integrate security best practices into AI development lifecycle
- Mitigate AI security risks like data poisoning adversarial attacks model evasion extraction and integrity
- Research and develop innovative AI security solutions
- Secure model training validation and deployment
- Support evaluation of AI systems and remediation planning
Perks/Benefits
- N/A
Skills/Tech-stack
ABAC | AWS | Adversarial Machine Learning | Amazon SageMaker | Artificial Intelligence | Azure | Cloud Security | Cloud platform | Containerization | Data masking | Data poisoning | Encryption | Go | Google Cloud | Google Cloud Platform | Incident Management | Kubernetes | Machine Learning | Model inversion | Prompt injection | Python | RBAC | Risk Management | Threat modeling | Tokenization | Vertex AI | Vulnerability Management
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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