The Department of Defense’s (DoD) toughest problems, increasing organizational efficiency and enabling better decision-making through AI and machine learning solutions
Requirements
- 5+ years of experience designing, developing, and deploying AI models, machine learning workflows, data engineering, and data pipelines using Agile methods
- 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 integrating AI systems architecture, AI platforms, or MLflow
- Experience with AI ethics, responsible AI practices, and AI governance frameworks
- ML, AI, or Solution Architecture Certification
Responsibilities
- Lead a team to create and implement complete end-to-end solutions that modernize client systems
- Ensure solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements
- Use expertise in the latest architectural approaches, tools, and technologies to solve the DoD’s toughest challenges
- Design, develop, and deploy AI models, machine learning workflows, data engineering, and data pipelines using Agile methods
- Administer continuous integration and continuous deployment (CI/CD) using tools such as ModelOps or MLOps
- Write and optimize source code for AI models and data workflows such as TensorFlow or PyTorch
- Integrate 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
- Master's degree in AI, CS, or a related field preferred; Doctorate degree in AI, CS, or a related field a plus
- Work-life programs, and dependent care
