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 testing, assessing, and strengthening the security, reliability, and ethical integrity of AI systems. You will identify vulnerabilities, weaknesses, and potential risks in AI models and ensure they meet the highest standards of performance, resilience, and compliance.
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Location: Dubai, United Arab Emirates
Work Conditions:
Key Responsibilities:
- Conduct comprehensive security assessments of AI models, algorithms, and systems to identify vulnerabilities, biases, and potential risks.
- Simulate adversarial attacks to evaluate the robustness and resilience of AI systems by designing and executing adversarial scenarios to understand their responses to malicious inputs or manipulation attempts.
- Analyze and mitigate risks associated with AI systems, including ethical concerns, data privacy issues, and potential misuse.
- Collaborate closely with AI developers, data scientists, and engineers to share insights, implement improvements, and ensure that AI systems are secure, fair, and reliable.
- Ensure compliance with relevant regulations, standards, and ethical guidelines, addressing any biases in AI models to promote fairness and inclusivity.
- Prepare detailed reports on findings, vulnerabilities, and recommendations, maintaining records of methodologies and results for future reference.
- Stay updated on the latest advancements in AI security, adversarial testing, and ethical AI practices while researching emerging threats and developing strategies to strengthen the overall security posture of AI systems.
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 knowledge of Machine Learning algorithms, Neural Networks, and AI frameworks.
- Solid understanding of Cybersecurity principles, including penetration testing and vulnerability assessment.
- Proficiency in Python, R, or Java.
- Familiarity with adversarial testing tools such as Foolbox, CleverHans, and ART.
- Excellent analytical, problem-solving, and documentation skills.
- Strong communication and collaboration abilities.
Preferred Skills:
- Hands-on experience with Large Language Models (LLMs) and Generative AI systems.
- Knowledge of Data Privacy regulations and Ethical AI guidelines.
- Relevant certifications such as CEH, CISSP, or TensorFlow Developer are a plus.
