Position Details
About this role
This role involves developing and implementing security strategies for AI and ML systems, conducting threat modeling, and assessing vulnerabilities in cloud-based AI applications to safeguard proprietary assets.
Key Responsibilities
- Develop AI/ML security strategies
- Conduct threat modeling exercises
- Perform security assessments on AI systems
- Build security control frameworks for cloud services
- Ensure compliance with regulations
Technical Overview
Focuses on AI/ML security, threat modeling, security assessments, cloud platforms (AWS, Azure, GCP), and generative AI tools like SageMaker and OpenAI, with programming in Python.
Ideal Candidate
The ideal candidate is a mid-level cybersecurity professional with 1-5 years of experience specializing in AI and ML security strategies, threat modeling, and cloud security across AWS, Azure, and GCP platforms. Strong programming skills in Python and familiarity with generative AI applications are essential.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with cloud platforms (AWS, Azure, GCP), No programming experience in Python, No understanding of AI/ML security, Unwillingness to work in a remote/anywhere environment
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