AI Security Engineering & Threat Defense: ensure that the ZEISS organization is protected from evolving AI-specific cyber threats (e.g., prompt injections, unauthorized model access and reinforcement-learning vulnerabilities) throughout the entire lifecycle of internally developed and commercially available AI models. * Advanced degree in Data Science, Information Technology, Artificial Intelligence, Computer Science, Information Security, Data Engineering, Machine Learning, or a related discipline (Bachelor's or Master's degree) or an equivalent mix of education and professional experience. * Hands‑on expertise with integration of security-by-design along the AI/ML solution lifecycle, including defending against AI‑specific threats such as prompt injection, model extraction, data poisoning, and adversarial attacks. * Sound understanding of security architecture, GRC, cyber defence, and security ...
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