Responsibilities
• Provides extremely high-level subject matter proficiency in data science, AI/ML domain. • Provides advanced technical knowledge and analysis of highly specialized applications and operational environment, systems analysis, design, integration, documentation and training • Architect solutions in data science, AI/ML space for federal agencies within the guard rail of overall enterprise architecture. • High degree of understanding on the security control requirements of Federal agencies, Cloud Architecture, CI/CD pipeline, SDLC . • Create a common foundation of shared data, reusable tools, frameworks, standards, and cloud services from the enterprise to edge environments. Design a common infrastructure to build, test and deploy AI/ML software and products that can operate in the cloud or be integrated into edge and tactical systems. • Develop proof of concepts, minimum viable products, prototypes, as necessary. |
• Minimum of 10 years’ relevant work experience in one of the following in solution architecting solutions around data, AI/ML space • In-depth knowledge of public cloud architecture and tools of AWS, Microsoft Azure, or GCP. • In-depth knowledge of cloud security and compliance standards and best practices. • Customer facing skills to drive discussions with all levels of personnel regarding requirements definition, solution design, technical approach, best practices, and cloud adoption strategies. • Collaborative, high-energy and diligent work ethic. • Travel Requirements: Flexibility to travel (20%) • Local to the Washington DC metropolitan area. |