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Applied Cybersecurity AI Researcher - Lazarus Enterprises
Research Engineer
Lead research on secure, auditable AI systems for regulated industries, blending machine learning, cybersecurity, and explainable AI to deliver production‑grade solutions that meet stringent compliance and risk standards.
About the role
Key Responsibilities
- Design and develop AI models that prioritize security, transparency, and regulatory compliance for high‑stakes environments.
- Conduct threat modeling and risk assessments to identify vulnerabilities in AI pipelines and propose mitigation strategies.
- Collaborate with cross‑functional teams to integrate secure AI components into production infrastructure, ensuring auditability and explainability.
- Publish research findings and contribute to open‑source projects that advance secure AI practices.
- Stay current on emerging cybersecurity threats, AI governance frameworks, and industry regulations.
Requirements
- PhD or Master’s in Computer Science, Cybersecurity, or related field with a focus on AI.
- Proven experience in developing secure machine learning systems and conducting security audits.
- Strong programming skills in Python and familiarity with cloud platforms (e.g., AWS, Azure).
- Deep understanding of explainable AI techniques and regulatory standards such as GDPR, HIPAA, or NIST.
- Excellent communication skills and ability to translate complex technical concepts to non‑technical stakeholders.
Skills
pythonmachine learning