AI Security Engineer
Tasks
- Conduct AI threat modeling
- Conduct security reviews for AI initiatives
- Define AI control frameworks
- Define AI risk classification
- Define secure by design patterns
- Design AI security architecture
- Enforce security standards
- Ensure GDPR compliance
- Ensure data privacy compliance
- Identify AI-specific threats
- Implement AI security controls
- Implement content filters
- Implement output validation
- Integrate AI security checks into CI CD
- Mitigate adversarial attacks
- Mitigate model poisoning
- Mitigate prompt injection
- Monitor anomalous AI behavior
- Perform AI risk assessments
- Perform ML code security reviews
- Prevent training data leakage
- Secure AI APIs
- Secure LLM integrations
- Secure RAG pipelines
- Secure artifact storage
- Secure model registries
- Support AI red teaming
Perks/Benefits
- Employee referral program
- Generous time off
- Health insurance
- Pension benefits
- Remote work options
- Volunteer days
- Work-life balance
- Workation days
Skills/Tech-stack
API Security | AWS | Adversarial Attacks | Amazon SageMaker | Anomaly Detection | Azure | CI/CD | Cloud Security | Cloud platform | Content Filtering | Data leakage | Docker | Google Cloud | Google Cloud Platform | Kubeflow | Kubernetes | Language Models | Large Language Models | MLflow | Machine Learning | Model Serialization | Model poisoning | NLP | OWASP Top | OWASP Top 10 | Output Validation | Prompt injection | Python | RAG | Risk Assessment | Secure SDLC | Threat modeling | Top 10 | Vector Databases
Education
N/A
Roles
AI | AI Security Engineer | Application Security Engineer | Engineer | Security | Security Engineer
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