Senior AI/ML Security Engineer

Markesman Group

Annapolis (MD)

Presencial

USD 120.000 - 150.000

Jornada completa

Hace 4 días
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Descripción de la vacante

Markesman Group is seeking a Senior AI/ML Security Engineer to support evaluation, testing, and security assessments of AI/ML systems, including large language models (LLMs). The role operates on-site at Fort Meade, MD, with a focus on identifying vulnerabilities and developing automated testing frameworks in Python.

Applicants should have TS/SCI with Polygraph, 3+ years of AI/ML experience, and strong communication skills to document findings for both technical and non-technical stakeholders.

Formación

  • Bachelor's degree and 3+ years of AI/ML experience, or 6+ years of related experience in lieu of a degree.
  • Experience with Python development and automated testing.
  • Experience in Linux environments and Docker containerization.
  • Experience conducting security assessments or red-team activities.
  • TS/SCI with Polygraph clearance.

Responsabilidades

  • Conduct security assessments and red-team evaluations of AI/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.

Conocimientos

Python programming
Linux environments
Security assessments & red-team
Communication of findings

Educación

Bachelor's degree in related field

Herramientas

Docker

Descripción del empleo

Job Description

Job Description

Position

AI / ML Security Engineer (Senior)

Clearance

TS/SCI CI-POLY

Location

Fort Meade, MD

Schedule

Monday?Friday, Day Shift

Role Overview

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
Required Experience
  • 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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