Information Technology - Quality Assurance (QA) and Testing

Description

• Conduct comprehensive testing campaigns against AI models.
• Research and identify vulnerabilities and unintended behaviors.
• Introduce tools to detect and respond to AI-specific threats.
• Simulate real-world scenarios to probe for harmful outputs.
• Create datasets to evaluate model robustness.
• Collaborate with teams to document findings and recommend mitigations.
• Maintain documentation and reports on testing activities.

Key Responsibilities

• Design and execute adversarial testing campaigns.
• Research attack vectors and techniques.
• Evaluate and introduce security tools for AI threats.
• Conduct red team exercises to identify harmful outputs.
• Collaborate with teams to mitigate identified risks.

Qualifications

• Minimum 5 years of experience in penetration testing or red team operations.
• Degree in computer science, IT, AI, or cybersecurity, or equivalent experience.
• Background in AI red teaming or offensive cyber operations.
• Understanding of AI, machine learning, and networking.
• Excellent communication and stakeholder management skills.

Core Technologies

SPLX | Garak | TextAttack | PyRIT | Burp Suite | Metasploit | Nessus | Cobalt Strike | NMAP | sqlmap | Python | Ruby | Go | C | PowerShell | bash