AI Engineer - Security

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

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.

Must have

• 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.

Nice to have

• 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)