About the Role
We are seeking a highly skilled and motivated AI / ML Security Engineer to join our cutting-edge security team. You will be responsible for ensuring the security and governance of AI / ML models and systems, focusing on AI Governance , Threat Modeling , and Red Teaming . Your expertise will help safeguard critical AI applications from potential threats and vulnerabilities while establishing robust governance practices.
Key Responsibilities
- Design and implement AI Governance frameworks to ensure security, compliance, and ethical use of AI models
- Conduct Threat Modeling to identify vulnerabilities within AI / ML pipelines and develop mitigation strategies
- Perform Red Teaming exercises to simulate real-world attacks on AI systems and evaluate their resilience
- Collaborate with data scientists and ML engineers to build secure AI models that resist adversarial attacks
- Develop and maintain security policies and best practices related to AI / ML applications
- Monitor and assess AI model behavior to detect anomalies and potential security breaches
- Stay up-to-date with the latest threats and vulnerabilities specific to AI / ML systems
- Document and communicate findings to stakeholders, including detailed technical reports and recommendations
Skills and Qualifications
Must-Have :
Proven experience in AI / ML security and governanceStrong knowledge of AI Governance frameworks and risk management practicesExpertise in Threat Modeling techniques for AI / ML pipelinesProficiency in conducting Red Teaming exercises with a focus on AI systemsHands-on experience with Python and libraries related to AI and security (e.g., TensorFlow, PyTorch, Scikit-learn)Familiarity with adversarial attack techniques and defense mechanisms in ML modelsSolid understanding of cybersecurity principles and secure coding practicesExcellent problem-solving skills and the ability to analyze complex security scenariosGood to Have :
Experience with ML model explainability and interpretability techniquesFamiliarity with security frameworks like NIST and ISO related to AI / ML governanceKnowledge of cloud security (AWS, Azure, or GCP) related to AI deploymentsStrong analytical and technical writing skills for documenting findings and solutionsSkills Required
Tensorflow, Pytorch, Python