AI/ML Engineer (Cybersecurity)

Job summary

Develop and apply AI/ML models to identify and prioritize cybersecurity threats and risks. Integrate these capabilities with security platforms to automate threat identification and attack-path analysis.

Job details

Develop and apply AI/ML models to identify, assess, and prioritize cybersecurity threats and risks. Build intelligent threat-modeling solutions using attack patterns, vulnerabilities, asset criticality, and security telemetry. Apply NLP/LLMs to analyze threat intelligence, security incidents, vulnerabilities, and application architecture. Develop ML-based risk scoring and anomaly detection models to identify emerging security threats. Integrate AI/ML capabilities with SIEM, SOAR, vulnerability management, and application security platforms. Automate threat identification, attack-path analysis, and security control recommendations

What you’ll do

Develop and apply AI/ML models to identify and prioritize cybersecurity threats and risks. Integrate these capabilities with security platforms to automate threat identification and attack-path analysis.

Requirements

The candidate should have experience building intelligent threat-modeling solutions and applying NLP/LLMs to security telemetry. Proficiency in developing ML-based risk scoring and anomaly detection models is required.

Listed skills

• Control · Preferred
• Problem solving · Preferred
• analysis · Preferred
• management · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• AI/ML
• Cybersecurity
• Threat Modeling
• NLP
• LLMs
• Anomaly Detection
• SIEM
• SOAR
• Vulnerability Management
• Application Security
• Attack-Path Analysis
• Risk Scoring

Job areas

• Security & Safety
• Technology
• Software
• Data & Analytics
• Engineering