Cybersecurity Specialist (AI)
Summary
Build an AI-powered cybersecurity product by designing automated penetration testing tools, guiding AI models with security expertise, and validating the system through ethical hacking.
about the company
Randstad has recently partnered with a top conglomerate providing IT solutions across Malaysia and right now they are currently expanding their cybersecurity arm in AI for a Cybersecurity Specialist.
about the job
- Product Ideation & Development: Collaborate closely with the AI development team to
design and build an AI-powered cybersecurity product, currently envisioned as an
automated penetration testing tool. - Domain Expertise: Serve as the Subject Matter Expert (SME) on offensive and
defensive security, guiding the AI team on attack vectors, vulnerabilities, and real-world
hacking scenarios to properly train the AI models. - Testing & Validation: Conduct rigorous ethical hacking and security assessments on
the AI product itself to ensure its efficacy, accuracy, and safety before market
deployment. - AI Integration: Leverage your experience using AI/Machine Learning tools in
cybersecurity to help structure data, define features, and improve the product's
threat-hunting and exploitation capabilities. - Strategic Collaboration: Work in a highly agile, ambiguous environment, pivoting as
the product details solidify, and provide regular progress updates directly to executive
leadership.
about the manager/team
Opportunity to work closely with the CEO / Head of Technology.
about the requirements
- Experience: 3 to 4 years of hands‑on experience in cybersecurity, specifically in
penetration testing, ethical hacking, or offensive/defensive security operations (Red
Team/Blue Team). - AI Familiarity: Practical experience or a strong, demonstrable interest in applying
Artificial Intelligence, Machine Learning, or Large Language Models (LLMs) to
cybersecurity tasks. - Technical Skills: Proficiency in scripting/programming languages commonly used in
security and AI (e.g., Python, Bash) and familiarity with standard pentesting frameworks
and tools. - Adaptability: Comfort working in a "startup" environment where project parameters are
still evolving and proactive problem‑solving is required. - Communication: Strong ability to translate complex cybersecurity concepts to software
developers, AI engineers, and non-technical stakeholders. - Bonus Points: Relevant industry certifications such as OSCP, CEH, or specific AI/ML
credentials.