Key skills
AzureCloudVaultAIMLMLOpsCloud Security
About this role
Role Overview
- Oversee AI platforms across development, testing, and production environments
- Implement best practices for AI lifecycle management (MLOps) including deployment, monitoring, and retirement
- Review AI applications for compliance with organizational policies and ethical AI principles
- Conduct risk assessments and define mitigation strategies for AI/ML systems
- Establish and maintain data lineage tracking for AI models
- Design and implement automated workflows using Microsoft Purview DSPM and Azure tools
- Monitor and optimize Azure security services (Defender for Cloud, Sentinel, Key Vault)
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Security, Data Science, or related field
- Azure Security Engineer certification preferred
- 7+ years of experience in AI/ML development and deployment
- 5+ years of experience in cloud security and data governance
- Strong experience with MLOps and AI lifecycle management
- Hands-on experience with Microsoft Azure and Microsoft Purview
- Fluent in English (mandatory)
- Additional language (French, Spanish, or Arabic) – preferred
Tech Stack
- Azure
- Cloud
- Vault
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development