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 support R&D projects to integrate AI and ML into operational and tactical platforms or sensors, aligning with AI/ML strategies.
\n Key Responsibilities-Monitor the funding, development, and evaluation of the various technical solutions and micro-services required to integrate AI/ML functions onto DoD platforms. -Manage multiple integrators during installation events and developmental tests in furtherance of possible operational deployment. -Interface with acquisition and operational stakeholders to synergize warfighter needs, augment existing CONOPs, align tech roadmaps, and deconflict platform schedules. -Generate proposals for advanced AI Development R&D efforts derived from—or required for—immediate AI/ML Edge operations. -Direct exercise demonstrations of AI/ML Edge capability; coordinate material and personal resourcing; supervise daily onsite operations and data management. Skills/Qualifications Required-Clearance: Active TS/SCI is required -Bachelor's degree in engineering, Computer Science, or other related discipline. -Requires broad knowledge of AI model development processes, ability to communicate with external and internal stakeholders, and ability to succeed in a fast-paced environment. 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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