AI Engineer - Security

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)