AI Engineer - Security
TechBiz Global
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.Job requirementsMust 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)
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