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Senior Security Consultant (AI/ML Penetration Tester)

LinkedIn NetSPI Minneapolis, MN
Not Applicable Posted March 26, 2026 Job link
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Requirements
  • Minimum of 3-5 years of work experience in Penetration Testing
  • Proficiency in using and customizing offensive toolkits for network, application, and AI/ML penetration testing
  • Thorough understanding of how major ML frameworks (e.g., Tensorflow, PyTorch) are implemented in real-world training and deployment pipelines.
  • Understanding of how to deploy AI/ML models with LangChain, including secure configuration of data flows, environment isolation, and integration with production systems
  • Understanding of Adversarial Machine Learning and its practical applications
  • Familiarity with offensive tools, based on applicable skillset (e.g., Kali Linux, Burp Suite, Metasploit, Nessus)
  • Familiarity with offensive and defensive IT concepts and protocols
  • Extensive understanding of the OWASP Top 10, MITRE ATT&CK framework, and various security frameworks.
  • Working knowledge of Windows, Linux and MacOS operating systems internals
  • Experience mentoring or coaching to growing team members, while sharing knowledge externally through blogs, hosting webinars, or presenting at conferences
  • Ability to work independently and as part of a team
  • Proficient communication skills, both written and verbal
  • Willingness to travel up to 5-10% minimum
  • This position requires an 8-hour workday, with occasional evenings or weekends necessary to meet project deadlines or critical needs
Preferred Skills
  • Ability to provide technical and QA oversight on AI/ML service line.
  • Comprehensive knowledge of secure AI/ML development protocols and architecture
  • Strong problem-solving skills and the ability to think like both an attacker and a defender.
  • A continuous learning mindset to keep up to date with the rapidly evolving AI/ML and cybersecurity landscapes.
  • Experience with model interpretability and explainability tools to understand model behavior and potential biases.
  • Experience in ML model development, feature engineering, and data pre-processing.
  • Experience in one or more of the following programming or scripting languages (e.g., Ruby, Python, Perl, C, C++, Java, and C#)
  • Offensive Security Certifications (e.g., GXPN, GPEN, OSCP, GWAPT)
Education
  • (Not required) – Bachelor’s degree or higher, with a focus on IT, Computer Science, Engineering or Math or equivalent experience