About the company:
VivSoft is an emerging technology company that specializes in using modern technologies to solve our clients' toughest mission challenges. We are focused on Cloud, Enterprise DevSecOps, Artificial Intelligence, and Digital Customer Experience to drive mission-enabling digital transformation. Our passion is building mission-focused, open, scalable solutions. We are a diverse team of strategists, engineers, designers, and creators experienced in building high-performance software and AI factory accelerators by embracing automation.
Job Summary:
This role works with the government Exercise and Edge lead to serve as a key component in coordinating and updating AI/ML's exercise participation and strategy. Responsibilities include supporting monthly updates with the AI/ML director, facilitating bi-weekly meetings to evaluate exercise metrics, and advising prime integrators on requirements and documentation for exercise involvement. The position also involves active participation in hosting unit meetings, representing AI/ML in exercises, assisting site engineers, and providing critical feedback for post-exercise briefings.
\n Key Responsibilities-Support monthly exercise updates to the AI/ML director, and recommend exercises and scope to participate in -Conduct bi-weekly meetings with T&E to determine metrics and value of participation in exercises -Advise prime integrators on requirements for participation in exercises -Advise prime integrators on exercise documents and internal planning meetings -Participate in hosting unit exercise meetings and represent AI/ML equities -As necessary, participate in exercises, assist site engineers, and provide feedback for our briefs. Skills/Qualifications Required-Clearance: Active TS/SCI is required -A Bachelor's in a relevant field such as Computer Science, Information Technology, Business, or a related discipline. Desired:
-Ability to manage diverse teams and competing priorities. -Exceptional human relations and communication (written, verbal, and listening) skills and ability to effectively communicate across disciplines and stakeholders. -Diverse technical experience, including AI model development, software engineering, regulated software quality and risk management, and monitoring of deployed software. -Understand working in a compliance-based and regulated environment, including building, deploying, and supporting secure software throughout the AI development life cycle. -Experience with data modeling and data exploration tools, including expertise in the use of scientific computing and data management packages. -Experience working in a joint military environment.
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