AI Engineer - Security

- Bachelor’s or Master’s degree in Computer Science, Data Science, Cybersecurity, or a related field.

- Proven experience in developing and deploying machine learning or deep learning models, preferably in a security context.

- Strong programming skills in Python (and/or R, Java, or C++), with experience in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

- Solid understanding of cybersecurity principles, threat landscapes, and security operations.

- Experience working with large datasets, data preprocessing, and feature engineering.

- Familiarity with cloud platforms (AWS, Azure, or GCP) and their security services.

- Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.

- Strong written and verbal communication skills.

- Industry certifications such as CISSP, CEH, or relevant AI/ML certifications.

- Experience with security tools (e.g., SIEM, SOAR, IDS/IPS) and their integration with AI solutions.

- Knowledge of adversarial machine learning and AI model robustness techniques.

- Experience with DevSecOps practices and CI/CD pipelines for ML models.

- Familiarity with regulatory frameworks (GDPR, HIPAA, etc.) and their impact on AI in security.

- Contributions to open-source AI or security projects.

- Experience with natural language processing (NLP) for security use cases (e.g., phishing detection, threat intelligence analysis)