AI Security Expert
Tasks
- Collaborate with engineering and data science teams
- Communicate security risks to stakeholders
- Conduct threat modeling
- Enforce data encryption
- Ensure AI governance compliance
- Implement privacy preserving ML
- Integrate security controls into CI/CD
- Mitigate adversarial attacks
- Monitor AI runtime threats
- Prevent data poisoning
- Protect AI pipelines
- Run red teaming exercises
- Secure AI lifecycle
- Secure container environments
Perks/Benefits
- Cutting-edge AI security work
- Flexible working hours
- Fully remote
- Global cross-functional collaboration
- Opportunity to shape AI security best practices
- Work on large scale production AI systems
Skills/Tech-stack
AWS | Adversarial Machine Learning | Amazon SageMaker | Anonymization | Azure | CI/CD | Cloud Security | Container Security | Cybersecurity | Data poisoning | Differential Privacy | Docker | Encryption | Federated Learning | Google Cloud | Homomorphic Encryption | Kubernetes | MLOps | Machine Learning | Machine Learning Security | Model Evasion | Model extraction | Model inversion | Privacy-preserving | Privacy-preserving machine learning | PyTorch | Red Teaming | TensorFlow | Threat modeling | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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