Chief ML Security Architect

4 days ago


Arlington, Virginia, United States SiloSmashers Full time
Job Overview

SiloSmashers is a pioneering organization in machine learning security operations (MLSecOps), collaborating closely with CISA to advance their MLSecOps program. We are seeking an experienced Chief ML Security Architect to lead our MLSecOps efforts, providing expert security guidance and support.


Key Responsibilities
  • Develop and maintain a robust Machine Learning Operations (MLOps) Security Baseline, incorporating thorough research on emerging threats, government policies (e.g., DHS, CISA, NIST), and industry best practices.
  • Establish a systematic process for periodic reassessment and refinement of the security baseline every 90 days to ensure adaptability to evolving threats in MLOPs pipelines, big data, and analytics environments.
  • Implement a continuous assessment tool or process to evaluate the enterprise environment, generating regular snapshots with high standards of quality in data accuracy, comprehensiveness, and relevance.
  • Develop a comprehensive tool or process to compare Minimum Viable Products (MVPs) within the MLOPs pipeline, identifying gaps and generating precise remediation tasks.
  • Document the effectiveness of the tool or process in detecting discrepancies between MVPs and establish a validation mechanism to assess the efficacy of generated remediation tasks in mitigating identified issues.

Requirements
  • Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related analytical, scientific, or technical discipline.
  • A minimum of 7 years of experience in Machine Learning, with effective written and oral communication skills.
  • Previous Federal Government experience is highly valued.
  • Must hold a minimum Secret security clearance.

Work Arrangements
  • 100% remote work arrangement with occasional on-site visits as needed.
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