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AI Cyber Defense Engineer - Emerging Risks - Popular, Inc.
Software Engineer
Design, build, and operationalize AI‑driven cyber defense solutions that detect, prevent, and remediate threats in near real‑time, leveraging machine learning, adversarial techniques, and cloud security platforms.
About the role
Key Responsibilities
- Architect and implement AI/ML models for real‑time threat detection, prevention, and automated response across security tooling.
- Develop and maintain data pipelines, feature engineering processes, and model monitoring to ensure high fidelity and explainability.
- Conduct adversarial testing and red‑team simulations to harden AI defenses against evasion techniques.
- Integrate AI solutions with cloud security services (e.g., AWS, Azure) and SIEM platforms, ensuring scalability and compliance.
- Collaborate with risk, incident response, and engineering teams to translate emerging threat intelligence into actionable AI use cases.
Requirements
- Strong programming skills in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit‑learn.
- Deep understanding of cybersecurity concepts, threat hunting, and incident response workflows.
- Hands‑on experience building, deploying, and monitoring production‑grade AI models in cloud environments.
- Knowledge of adversarial AI techniques and methods for model robustness and explainability.
- Excellent problem‑solving mindset with the ability to think like an attacker and translate findings into defensive engineering solutions.
Skills
pythonmachine learning