Security AI Engineer: Threat Detection & Automation

TechBiz Global; Dubai; On-site; AED 300,000 - 520,000; Full time

Job summary

TechBiz Global seeks an AI Engineer - Security to design, develop, and deploy AI/ML models for threat detection and incident response within our clients' security teams. You will analyze large security datasets, collaborate with cybersecurity engineers to integrate AI into SIEM/SOAR platforms, monitor model performance, and stay current with advancements in AI and security practices.

This role requires strong Python, TensorFlow/PyTorch experience, and the ability to translate complex findings

Qualifications

• Degree in CS/Data Science/Cybersecurity required.
• Experience deploying ML models in security contexts.
• Proficiency with Python and ML frameworks.
• Understanding of cybersecurity principles.

Responsibilities

• Design, develop, and implement AI/ML models for threat detection and incident response.
• Analyze large-scale security datasets to identify patterns and threats.
• Collaborate with cybersecurity teams to integrate AI into SIEM/SOAR platforms.
• Monitor and improve performance of deployed AI models to reduce false positives/negatives.
• Research new AI techniques and tools for cybersecurity challenges.
• Develop automation scripts to streamline security operations with AI/ML.
• Document model architectures and findings for stakeholders.
• Ensure compliance with data privacy and security policies.

Skills

Python programming

ML/DL model development

Data preprocessing & feature eng.

Strong problem-solving

Communication skills

Education

Bachelor's or Master's in CS/Data Science/Cybersecurity

Tools

TensorFlow

PyTorch

Scikit-learn

Cloud platforms (AWS/Azure/GCP)

SIEM/SOAR tooling

Job description

TechBiz Global seeks an AI Engineer - Security to design, develop, and deploy AI/ML models for threat detection and incident response within our clients' security teams. You will analyze large security datasets, collaborate with cybersecurity engineers to integrate AI into SIEM/SOAR platforms, monitor model performance, and stay current with advancements in AI and security practices.

This role requires strong Python, TensorFlow/PyTorch experience, and the ability to translate complex findings