Position Details
About this role
This role involves designing and implementing security frameworks for AI and machine learning systems, focusing on threat modeling, risk assessment, and security controls within cloud environments like Azure and Databricks.
Key Responsibilities
- Designs secure AI/ML architectures
- Conducts threat modeling and risk assessments
- Leads AI threat research and security control design
- Collaborates with data science and MLOps teams
- Stays current with AI security threats
Technical Overview
The technical scope includes securing AI/ML workloads, developing security architectures, threat modeling, risk assessments, and integrating security into MLOps pipelines using Azure and Databricks platforms.
Ideal Candidate
The ideal candidate is a senior cybersecurity professional with extensive experience in securing AI and machine learning workloads, particularly within Microsoft Azure and Databricks environments. They possess strong threat modeling, risk assessment, and security architecture skills, with a focus on AI-specific vulnerabilities and defenses.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 5 years of cybersecurity experience, No experience with AI/ML security, Lack of Azure or Databricks experience, No threat modeling or risk assessment background
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