Protect organizations from evolving cyber threats by leveraging artificial intelligence and machine learning for advanced threat detection automated response and security analytics at scale.
Key Responsibilities:
- Develop AI-powered threat detection and response systems
- Design machine learning models for anomaly detection and behavioral analysis
- Implement automated incident response workflows using AI technologies
- Conduct security assessments of AI/ML systems and models
- Develop adversarial AI defense mechanisms and model robustness testing
- Collaborate with SOC teams to integrate AI tools into security operations
- Research emerging AI security threats and develop countermeasures
- Design security frameworks for AI model deployment and data protection
Requirements
Bachelors or Masters degree in Cybersecurity Computer Science or related field
4 years cybersecurity experience with 2 years applying AI/ML to security use cases
Strong understanding of machine learning algorithms and their security implications
Experience with SIEM platforms threat intelligence and security analytics
Knowledge of adversarial machine learning and AI model attacks
Proficiency in Python R or similar languages for security data analysis
Security certifications (CISSP CISM GCFA etc.) preferred
Understanding of cloud security and zero-trust architecture principles
Benefits
Compensation Range: $140000 - $260000 plus security clearance premiums
Bachelor's or Master's degree in Cybersecurity, Computer Science, or related field 4+ years cybersecurity experience with 2+ years applying AI/ML to security use cases Strong understanding of machine learning algorithms and their security implications Experience with SIEM platforms, threat intelligence, and security analytics Knowledge of adversarial machine learning and AI model attacks Proficiency in Python, R, or similar languages for security data analysis Security certifications (CISSP, CISM, GCFA, etc.) preferred Understanding of cloud security and zero-trust architecture principles