GDIT is looking to solve complex challenges for its customers by leveraging AI/ML solutions to enable faster decision-making, enhanced situational awareness, and improved operational readiness for the U.S. Navy and Marine Corps.
Requirements
- Proficiency in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit‑Learn).
- Strong background in cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes).
- Experience with secure data pipelines, encryption, and compliance with DoD security controls.
- Ability to develop and present AI proposals, including feasibility studies, cost estimates, and implementation roadmaps.
- Artificial Intelligence (AI)
- Cloud Platform
- Container Orchestration
- Machine Learning
- Solution Architecture
Responsibilities
- Lead/Manage/Support the development of AI/ML architectures for fleet operations, cyber defense, and logistics, ensuring scalability, security, and compliance with DoD standards.
- Collaborate with cross‑functional teams—including data scientists, systems engineers, and enterprise architects—to translate complex requirements into robust, deployable solutions.
- Drive key outcomes such as reduced data processing times, increased predictive accuracy, and accelerated AI model deployment across command networks.
- Utilize cutting‑edge technologies such as TensorFlow, PyTorch, Kubernetes, and secure multi‑party computation to meet the Navy’s and Marine Corps’ stringent security and performance requirements.
Other
- Education: Bachelor of Science in Artificial Intelligence, Data Science, Computer Science, or another STEM field.
- Experience: 10+ years of related experience AI/ML engineering, solution architecture, and system integration, with a proven track record in defense or federal government environments.
- Security clearance level: Eligibility for TOP SECRET/SCI with an active SECRET clearance at a minimum
- US citizenship required
- Willingness to travel (up to 25%) and work on-site at Navy/Marine Corps facilities as needed.
