AI Security - Cybersecurity

Role & responsibilities

Overall - At least 8+ years of experience in performing security engineering and assessments of complex systems with AI / ML / Data Science capabilities and services

• 3+ years of experience auditing existing AI or machine learning systems for security risks and compliance.
• Development and implementation of AI content filtering mechanisms.
• Deployment and operation of tools and processes to analyze security threats and vulnerabilities in AI or machine learning systems.
• Identification and protection of sensitive data within AI solutions.
• Design and implementation of strategies to protect AI systems from cyber-attacks.
• Design and implementation of adversarial test plans.
• Strong analytical and problem-solving skills
• Excellent communication skills, both written and verbal, with the ability to convey complex information in a clear and concise manner.
• A commitment to staying current with the latest developments in cybersecurity through ongoing training and professional development.
• Ability to work both independently and as part of a team in a fast-paced, dynamic environment.
• Flexible to provide coverage in US morning hours on a need-basis, and as required

Preferred candidate profile

Bachelor's or master's degree in computer science, mathematics, information systems, engineering, or cybersecurity.

Industry certifications such as CISSP, SANS and/or other relevant certifications

Experience designing, developing, and deploying secure AI systems.

Training in secure coding standards and best practices for AI-related projects.

Knowledge of ethical hacking techniques.

Ability to develop security protocols and policies.

Excellent communication, problem-solving, and analytical skills.

Ability to work independently and as part of a team.