The Department of Defense’s (DoD) toughest problems, increasing organizational efficiency and enabling better decision-making
Requirements
- 5+ years of experience designing, developing, and deploying AI models, machine learning workflows, data engineering, and data pipelines using Agile methods through to production
- 5+ years of experience with software development in AWS, GCP, or Azure
- experience with the administration of continuous integration and continuous deployment (CI/CD) using tools such as ModelOps or MLOps
- experience writing and optimizing source code for AI models and data workflows such as TensorFlow or PyTorch
- experience with integrating AI systems architecture, AI platforms, or MLflow
- experience with acquiring client requirements and resolving workflow problems through AI-driven automation
- ability to work with automated testing tools to perform testing and maintenance
Responsibilities
- lead a team as they create and implement complete end-to-end solutions that modernize client systems
- ensure that your team’s solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements
- use your expertise in the latest architectural approaches, tools, and technologies to solve the DoD’s toughest challenges
- designing, developing, and deploying AI models, machine learning workflows, data engineering, and data pipelines using Agile methods through to production
- administering continuous integration and continuous deployment (CI/CD) using tools such as ModelOps or MLOps
- writing and optimizing source code for AI models and data workflows such as TensorFlow or PyTorch
- integrating AI systems architecture, AI platforms, or MLflow
Other
- Ability to obtain a Secret clearance
- Bachelor's degree in CS, Electrical Engineering, Physics, Mathematics, or Data Science
- Top Secret clearance (preferred)
- Master's degree in AI, CS, or a related field (preferred)
- ML, AI, or Solution Architecture Certification (preferred)
