The U.S. Air Force needs to push the boundaries of AI to support operational needs, requiring the design and deployment of cutting-edge AI solutions to enhance warfighter decision-making and readiness.
Requirements
- 2+ years of experience with designing, training, and deploying machine learning or deep learning models in production environments
- Experience in Python and modern ML frameworks, such as PyTorch, TensorFlow, or scikit-learn
- Experience with full-cycle ML engineering, such as data preprocessing, model development, evaluation, deployment, and monitoring
- Knowledge of scalable ML systems and tooling, such as MLflow, Docker, Kubernetes, Ray, FastAPI, or Airflow
- Experience applying or fine-tuning foundational models or large language models (LLMs) in mission-critical settings
- Knowledge of responsible AI principles, model interpretability techniques, and ethical deployment considerations
- Knowledge of MLOps best practices and CI/CD for ML workflows
Responsibilities
- architect and implement scalable machine learning systems
- guide technical decision-making
- mentor junior team members
- collaborate closely with data scientists and software engineers to translate high-impact operational challenges into deployable AI solutions
- building custom models
- fine-tuning LLMs
- integrating AI into complex, real-time environments
Other
- Ability to work in cross-functional teams, lead technical efforts, and drive results in ambiguous, fast-moving environments
- Ability to clearly communicate complex technical concepts to both technical and non-technical audiences
- Ability to obtain a Secret clearance
- Secret clearance
- Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
