AI Red Teamer

Position Overview: We are seeking a highly skilled and detail-oriented AI Red Teamer to join our organization. As an AI Red Teamer, you will play a critical role in assessing, testing, and improving the security, reliability, and ethical integrity of AI systems. You will be responsible for identifying vulnerabilities, weaknesses, and potential risks in AI models and systems, ensuring they meet the highest standards of performance and security.Key Responsibilities:AI System Vulnerability Assessment:Conduct thorough security assessments of AI models, algorithms, and systems to identify vulnerabilities, biases, and risks.Simulate adversarial attacks to test the robustness and resilience of AI systems.Adversarial Testing:Design and execute adversarial scenarios to evaluate how AI systems respond to malicious inputs or attempts to manipulate their behavior.Develop adversarial examples to test the limits of AI models and identify areas for improvement.Risk Analysis and Mitigation:Analyze risks associated with AI systems, including ethical concerns, data privacy, and potential misuse.Provide recommendations for mitigating identified risks and improving system security.Collaboration with Development Teams:Work closely with AI developers, data scientists, and engineers to share findings and implement improvements.Assist in the development of secure and robust AI systems by providing actionable feedback.Compliance and Ethical Standards:Ensure AI systems comply with relevant regulations, standards, and ethical guidelines.Identify and address biases in AI models to promote fairness and inclusivity.Documentation and Reporting:Prepare detailed reports on findings, vulnerabilities, and recommendations for stakeholders.Maintain documentation of testing methodologies and results for future reference.Continuous Learning and Research:Stay updated on the latest advancements in AI security, adversarial techniques, and ethical AI practices.Research emerging threats and develop innovative strategies to counteract them.Qualifications:Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Cybersecurity, or a related field.Proven experience in AI security, adversarial testing, or ethical AI development.Strong understanding of machine learning algorithms, neural networks, and AI frameworks.Knowledge of cybersecurity principles and practices, including penetration testing and vulnerability assessment.Proficiency in programming languages such as Python, R, or Java.Familiarity with tools and libraries for adversarial testing (e.g., Foolbox, CleverHans, ART).Excellent problem-solving skills and attention to detail.Strong communication skills to effectively convey findings and recommendations.Preferred Skills:Experience with large language models (LLMs) and generative AI systems.Knowledge of data privacy regulations and ethical AI guidelines.Certifications in cybersecurity or AI-related fields (e.g., CEH, CISSP, TensorFlow Developer).