Job Description
- Job Description:
- Identify and mitigate risks in AI models, applications and data pipelines to ensure security, integrity and availability.
- Design and implement security protocols for AI/ML systems, models and data pipelines.
- Review applications and services using AI against threats.
- Conduct threat modeling and risk assessments.
- Monitor systems for anomalous behaviors.
- Assess and secure end points and APIs for model access and inference.
- Collaborate with stakeholders, engineers, data scientists and IT to integrate security into systems.
- Deliver client reports on AI security protocols and policies, and document best practices.
- Develop and implement AI security training for internal and external stakeholders.
- Requirements:
- Deep background in cybersecurity focused in AI/ML, securing models and gen AI systems, preferably in a professional services environment.
- Strong understanding of machine learning workflows, model architecture and data pipelines.
- Experience with adversarial ML, prompt injection, model extraction, data leakage, etc.
- Demonstrated working knowledge of Python and common ML frameworks such as TensorFlow, PyTorch, etc.
- Understanding of AI governance, model explainability and ethical AI principles.
- The ability to work independently under deadlines.
- Degree in Mathematics, Computer Science, Cybersecurity, Machine Learning or a related field.
- Certifications preferred, including CAISS, GMSE, CISSP, OSCP, etc.
- Benefits:
- A chance to work with an industry leader in cyber security
- Access to world-class technical teams and research
- A high-energy, collaborative team that values innovation
- Flexibility—work remotely or from the office as needed
- Opportunities for travel
- Competitive compensation and performance-based incentives
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