AI Engineer - Security

At Tech Biz 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

• 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

• 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 Tensor Flow, 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 Dev Sec Ops  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).