Artificial Intelligence/Machine Learning (AI/ML) SME Job Listing at SPA in Lorton, VA (Job ID 2024-19322)

Description

Qualifications

Required:

• Master's degree in computer science, data science, or math/statistics with minimum of 10 years of relevant experience.
• Extensive experience developing, using, or managing the development of AI/ML/DS capabilities.
• Knowledge of DoD and DTRA policy process development and implementation.
• Active DoD Secret clearance with ability to obtain and maintain TS/SCI.

Desired:

• PhD in computer science, data science, or math/statistics with 6 or more years of related experience in this field of work.
• DoD, CWMD, or CBRNE experience.
• Strong knowledge and experience of current AI/ML/DS state-of-the-art technologies in industry.
• Active DoD TS/SCI.

Provide subject matter expertise (SME) in artificial intelligence (AI), machine learning, and data science (AI/ML/DS) to advise and assist the Office of the Chief Data and AI Officer (OCDAO) in policy formation and implementation, technical, and advance analytic support. Utilize deep knowledge of AI/ML/DS technologies to make recommendations to DTRA leadership and AI/ML/DS stakeholders on how to better support the development, incorporation of, and use of AI/ML/DS technologies at DTRA. Support the development and implementation of Federal and DoD AI requirements, such as the responsible and safe use of AI (e.g., Responsible AI Toolkit) and AI Inventory. Support the implementation of DTRA's AI risk management framework, including reviewing risks associated with DTRA AI use cases and providing feedback on mitigation strategies. Support the OCDAO in the development and sustainment of DTRA's AI Community of Practice, development of briefings, white papers, articles, policies, and responses to DoD taskers/RFIs, and literacy efforts. Work across DTRA and DoD on data science efforts, including data and infrastructure required to advance AI/ML/DS development and use; work with DTRA stakeholders to understand their AI/ML/DS technology needs and identify solutions or vendors that can best meet those needs -- this work may include providing expertise on AI/ML/DS to advise on technology acquisitions; support the advancement of AI/ML/DS capabilities within DTRA. Work with industry to share DTRA's AL/ML/DS needs, facilitate discussions and demonstrations, and understand the state-of-the-art AI/ML/DS technologies offered by industry.