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azure aws ci/cd mlops security architecture📋 Description
- Secure AI/ML and generative AI systems; ensure resilience and compliance.
- AI security SME; partner with Engineering, Product, DevSecOps, Legal, and SOC.
- Lead AI security architecture and secure design across data lifecycle.
- Define monitoring, detection, and incident response for AI; SIEM/SOC integration.
- Deliver milestones at 30/150/210 days; create executive risk reports.
🎯 Requirements
- Bachelor’s degree in CS/Cybersecurity/Engineering or related field.
- 5+ years in security engineering, cloud security, or DevSecOps.
- 2+ years building or securing AI/ML systems in production.
- Strong AI/ML threat knowledge incl. prompt injection and data leakage.
- CI/CD and MLOps security integration.
- AWS and Azure proficiency; container security and IAM.
- Familiar with OWASP GenAI Top 10, MITRE ATLAS, NIST AI RMF.
🎁 Benefits
- Award-winning, purpose-driven workplace.
- Opportunity to impact InvoiceCloud's AI-first initiatives.
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