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.

Job requirements

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)