Collaborate closely with SOC monitoring, Incident Response, and Threat Intelligence functions to operationalize hunt outcomes and strengthen detection logic.
Develop repeatable hunting playbooks and automation routines using scripting languages such as Python, PowerShell, or similar.
Provide technical mentorship and contribute to continuous improvement initiatives across the Cyber Defence Group.
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Handle other academic-related duties and administration.
Be involved in student development and mentoring, outreach programmes and community works. - Engage in relevant research activities for lifelong professional development purpose.
You should have at least 3 years of relevant experience in Computer Science, Information Systems, or Information Security industry, and preferably relevant work experience in the security industry.
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Enterprise Deployment: Deploy and manage AI security solutions across both Cloud (e.g., Government Commercial Cloud - GCC) and On-Premise containerized environments (Docker, Kubernetes), while pushing the frontier of complex trade-off between ensuring high availability, low latency, and security.
DevSecOps for AI: Automate TEVV workflows and integrate AI vulnerability scanners and benchmarking tools into the organization’s CI/CD pipelines to ensure continuous security testing.
Threat Mitigation: Work closely with application developers, data scientists, project managers, and cloud engineers to understand use cases translating into design and implementation of robust mitigating controls and secure configurations across the end-to-end AI lifecycle (pre-training, fine-tuning, RAG, and inference).
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