AI / ML Security Engineer

Markesman Group
Fort Meade, MD, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Automation of Tests Cyber Security Data Fusion Information Leak Prevention Linux Intelligence Analysis Python (Programming Language) Linux System Administration Machine Learning Large Language Models Model Validation
+5 more
Containerization Data Analytics Machine Learning Operations Docker Vulnerability Analysis

Job description

The AI / ML Security Engineer will support the evaluation, testing, and security assessment of machine learning systems, including large language models (LLMs). This role focuses on identifying vulnerabilities, conducting red-team assessments, and analyzing model behavior to understand potential security risks and operational impacts. The position combines machine learning, cybersecurity, and intelligence analysis to support mission-focused AI initiatives.

What You’ll Do

  • Conduct security assessments and red-team evaluations of AI and ML systems, including LLMs
  • Develop automated testing and evaluation frameworks using Python
  • Identify model vulnerabilities, failure modes, data leakage, and other security concerns
  • Analyze AI/ML outputs and document findings for technical and non-technical stakeholders
  • Support deployment and testing of AI systems in Linux and containerized environments
  • Collaborate with intelligence analysts and technical teams to assess operational risks
  • Provide recommendations to improve the security and resilience of AI-enabled systems
  • Support development of AI security strategies and testing methodologies

Requirements

  • Experience with Python development and automated testing
  • Experience working in Linux environments and with containerization technologies such as Docker
  • Experience conducting security assessments, red-team activities, or vulnerability testing
  • Ability to evaluate AI/ML system behavior and identify security risks
  • Ability to communicate technical findings and risk assessments clearly
  • TS/SCI with Polygraph
  • Bachelor’s degree and 3+ years of AI/ML experience, or 6+ years of related experience in lieu of a degree

Preferred Experience

  • Experience red-teaming large language models (LLMs)
  • Experience with AI/ML security testing and model evaluation
  • Experience applying AI security findings to intelligence or operational workflows
  • Knowledge of enterprise AI security tools and platforms
  • Familiarity with anomaly detection, data fusion, or advanced analytics techniques
  • Experience supporting DoD or Intelligence Community missions

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