remote
AI Security Engineer - aspenview
Security Engineer
Lead the design and implementation of secure AI systems, ensuring robust protection of data, models, and infrastructure using Python, ML techniques, and AWS services.
About the role
Key Responsibilities
- Architect and deploy secure AI pipelines, integrating encryption, access controls, and monitoring across data, model, and inference stages.
- Conduct threat modeling, vulnerability assessments, and penetration testing on AI workloads and cloud environments.
- Collaborate with data scientists to embed privacy-preserving techniques (e.g., differential privacy, federated learning) into model training.
- Develop automated security tooling and CI/CD pipelines that enforce compliance with industry standards (ISO 27001, NIST, GDPR).
- Investigate and remediate security incidents, providing root‑cause analysis and post‑mortem documentation.
Requirements
- 5+ years of experience in AI/ML engineering with a strong focus on security.
- Proficiency in Python, AWS services (SageMaker, IAM, KMS), and container orchestration (ECS/EKS).
- Hands‑on experience with threat modeling, secure coding practices, and vulnerability management tools.
- Deep understanding of data privacy regulations and secure data handling.
- Excellent communication skills and ability to work cross‑functionally.
Skills
pythonmachine learningaws