Develop and integrate advanced AI and machine learning models into existing architecture for a decision support tool used for logistician decision-making in near-real-time operations.
Requirements
- Experience with Advana or Maven.
- A deep understanding of machine learning and deep learning algorithms, frameworks, and tools.
- Strong programming skills and experience in software engineering, particularly in developing specialized AI models for logistics and decision support systems.
- Demonstrated experience with building AI/ML models and integrating them with large-scale data repositories and decision support platforms.
- Experience with command-level decision support tools and logistical data systems.
- Familiarity with Cyber, Knowledge, and Information Management disciplines in a military or operational environment.
Responsibilities
- Develop and integrate AI/ML models using machine learning algorithms and deep learning neural networks to work with Command Common Operating Picture data repositories.
- Provide advanced analytics solutions through visual displays on geographic models/maps and dashboards, supporting predictive and prescriptive analytics, as well as free text query capabilities.
- Work closely with stakeholders to ensure AI/ML workflows support Cyber, Knowledge, and Information Management disciplines, enabling the Decision-Making Process for Command Staff.
- Build predictive models from large datasets, ensuring alignment with logistics objectives and desired outcomes.
- Design and implement data ingestion and transformation infrastructure to interface with data repositories and support seamless integration with enterprise systems.
- Develop AI/ML models in accordance with enterprise standards, ensuring efficient data sharing across joint enterprise systems.
Other
- Active TS-SCI
- Master’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
- A minimum of 8 years of industry experience in predictive modeling, data science, and analytics.
- Experience can serve as a substitute for education.
- Ability to work collaboratively with cross-functional teams, including Command Staff, to ensure integration and functionality of the AI/ML tools.
