Artificial Intelligence Machine Learning Lead

$122,200 - $220,900/Yr

Leidos - Springfield, MO

Full-time

Springfield, MO

Professional, Scientific, and Technical Services

About the position

The Artificial Intelligence Machine Learning (AI/ML) Lead at Leidos will spearhead the exploration of advanced AI frameworks and methodologies, ensuring the development of secure AI/ML applications. This role involves documenting the entire lifecycle of AI models, from creation to deployment, while addressing associated risks and vulnerabilities. The AI/ML Lead will also mentor security analysts and penetration testers, contributing to the development of robust security strategies and compliance with industry standards.

Responsibilities

• Lead research into AI/ML frameworks, ensuring alignment with emerging trends and technologies.
• Document the entire lifecycle of AI models, focusing on risks and vulnerabilities during model creation, deployment, and operation.
• Develop security strategies and testing procedures tailored to AI/ML applications, including real-world attack scenario simulations.
• Mentor security analysts and penetration testers, providing knowledge and tools for AI/ML risk assessment.
• Collaborate with IT security teams to implement AI/ML best practices and ensure compliance with industry and regulatory standards.

Requirements

• BS Degree and 12 - 15 years of experience.
• Expertise in documenting AI/ML lifecycle processes, identifying risks and mitigating vulnerabilities.
• Strong background in AI security, including the development of attack simulations and testing methodologies.
• Proven ability to lead teams and mentor professionals in AI/ML security techniques.
• GISP or SANS certification required.
• Active Secret Clearance with eligibility to upgrade to Top-Secret/SCI.

Nice-to-haves

• Experience developing AI security policies and frameworks for federal government or highly regulated environments.
• Familiarity with AI/ML frameworks and methodologies, including secure deployment and operational practices.
• Strong knowledge of AI/ML model testing, bias detection, fairness, and ethical AI practices.
• Experience conducting security evaluations and training sessions for AI/ML applications.
• Expertise in regulatory compliance related to AI security, including industry standards.