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AI & Data Security Engineer - Apple
Security Engineer
AI & Data Security Engineer crafting secure, scalable AI solutions on AWS, leveraging Python, Kubernetes, and DevSecOps practices to protect data and ensure compliance while driving measurable business impact.
About the role
Key Responsibilities
- Design, develop, and deploy AI models that meet stringent data security and privacy requirements.
- Implement secure data pipelines and model serving infrastructure on AWS using services such as SageMaker, Lambda, and ECS.
- Integrate DevSecOps practices—CI/CD, automated security scanning, and compliance checks—into the AI lifecycle.
- Collaborate with cross‑functional teams to translate business needs into secure AI solutions.
- Monitor model performance, detect drift, and apply remediation while maintaining audit trails.
Requirements
- Strong experience with Python, TensorFlow/PyTorch, and ML model deployment.
- Proven expertise in AWS security services (IAM, KMS, GuardDuty) and container orchestration with Kubernetes.
- Hands‑on knowledge of DevSecOps tools (GitHub Actions, Terraform, Snyk, OWASP ZAP).
- Excellent problem‑solving skills and ability to communicate complex security concepts to non‑technical stakeholders.
- BS/MS in Computer Science, Engineering, or related field, or equivalent experience.
Skills
machine learningpythonawskubernetes