AI Cybersecurity Engineer (Offensive Security & Threat Modeling)
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Xenon7Financial Services
Serbia. Croatia. Poland. Belgium. India. PakistanContractSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 5+ years
- Required Skills
- DockerPythonBashKubernetes
Requirements
- 5+ years of dedicated experience in Offensive Security, Red Teaming, or Advanced Penetration Testing.
- At least 2 years of hands-on experience securing or attacking AI/ML workloads.
- Mandatory prior experience working within a regulated financial institution in Egypt, familiar with Central Bank of Egypt (CBE) compliance.
- Expert-level knowledge of MITRE ATLAS and OWASP Top 10 for Large Language Models (LLMs).
- Strong proficiency in Python or bash scripting for building custom exploit or testing tools.
- Deep understanding of on-premises infrastructure including Linux administration, private networking, and storage area networks.
- Direct experience with container security (Docker, Kubernetes) and secure MLOps pipelines.
- Bachelor’s degree in Computer Science, Cybersecurity, Computer Engineering, or a related field.
- Highly valued certifications: OSCP, OSCE, CRTP, or GPEN, alongside AI/ML security credentials.
- Ability to articulate technical AI vulnerabilities into remediation plans for non-technical stakeholders.
- Fluency in English.
Responsibilities
- Lead advanced threat-modeling exercises across localized AI/ML pipelines and training environments.
- Conduct targeted offensive operations and ethical hacking against on-premises AI infrastructure, simulating attacks like data poisoning, model inversion, and prompt injection.
- Implement and operationalize the MITRE ATLAS framework to build a robust, AI-specific defensive matrix.
- Assess and secure on-premises physical and virtual infrastructure, including GPU clusters and Kubernetes/OpenShift environments.
- Collaborate with SOC and data engineering teams to build predictive detection use-cases and identify early signs of AI-targeted attacks.
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