AI Engineer - Security

Client of TechBiz Global; Abu Dhabi; On-site; AED 240,000 - 360,000; Full time

Job summary

TechBiz Global is seeking a highly proactive AI Engineer - Security to join one of our client's security teams. The role focuses on designing, developing and deploying AI/ML models for threat detection and incident response.

You will work with SIEM/SOAR integrations, handle large security datasets, ensure data privacy, and stay updated with AI security research and best practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Cybersecurity, or a related field.
• Proven experience in developing and deploying ML models, preferably in a security context.
• Strong programming skills in Python (and/or R, Java, or C++), with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Solid understanding of cybersecurity principles, threat landscapes, and security operations.
• Experience with large datasets, data preprocessing, and feature engineering.

Responsibilities

• Design, develop and implement AI/ML models for threat detection, anomaly 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 deployed AI models to reduce false positives/negatives.
• Research and evaluate new AI techniques and tools for cybersecurity challenges.
• Develop automation scripts and tools to streamline security operations using AI/ML.
• Document model architectures, processes, and findings for stakeholders.
• Ensure compliance with data privacy, security policies and regulations.

Skills

Python programming

Machine Learning / Deep Learning

Security concepts

Data processing / feature engineering

Communication skills

Education

Bachelor's or Master's in CS/DS/Cybersecurity

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

GCP

SIEM

SOAR

NLP

CI/CD for ML

DevSecOps

Job description

At TechBiz Global we are providing recruitment service to our TOP clients from our portfolio We are currently looking for a highly proactive and detail-oriented AI Engineer - Security to join one of our clients teams If you re looking for an exciting opportunity to grow in an innovative environment this could be the perfect fit for you

Key Responsibilities

• Design develop and implement AI ML models for threat detection anomaly detection and incident response
• Analyze large-scale security datasets to identify patterns trends and emerging threats
• Collaborate with cybersecurity teams to integrate AI solutions into existing security infrastructure e g SIEM SOAR platforms
• Continuously monitor and improve the performance of deployed AI models to reduce false positives negatives
• Research and evaluate new AI techniques and tools relevant to cybersecurity challenges
• Develop automation scripts and tools to streamline security operations using AI ML
• Document model architectures processes and findings for technical and non-technical stakeholders
• Ensure compliance with data privacy security policies and industry regulations in all AI-driven initiatives
• Participate in incident investigations providing AI-driven insights and recommendations
• Stay current with advancements in AI cybersecurity threats and best practices

Qualifications

• 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).