Job Summary

This is a contingent position supporting defense-related missions focused on data management, cybersecurity, and advanced AI/ML capabilities for tactical C5ISR systems. The role contributes to testing, engineering, integration, and sustainment efforts by applying data strategies, governance, and secure AI/ML solutions across cloud and edge environments.

• Apply industry standards, data strategies, governance, data cataloging, and DataOps practices for tactical systems

• Enhance and mature existing AI/ML strategies

• Assess and recommend survivable edge computing solutions to support AI/ML deployment at the tactical edge

• Integrate security practices and tools into edge and AI/ML deployments

• Validate and evaluate commercial AI vendor products

• Design and develop deep learning models

• Translate operational needs into machine learning requirements

• Evaluate ML model performance and identify potential bias in externally developed models

• Conduct statistical data analysis

• Develop user interfaces for deploying ML models

• Leverage cloud infrastructure for AI/ML development and deployment

• Experience applying AI to practical, end-to-end technology solutions

• Hands-on experience with AI/ML deep learning techniques and Python

• Knowledge of basic algorithms, object-oriented and functional design principles, and AI/ML best practices

• Experience with AI/ML techniques such as large language models, clustering, decision trees, and neural networks

• Active Secret security clearance

• Three or more years of experience applying AI to comprehensive technology solutions

• Three or more years of experience with AI/ML deep learning and Python

• Knowledge of advanced algorithms and AI/ML design patterns

• Three or more years of experience developing and applying advanced machine learning and statistical models, including regression, simulation, modeling, clustering, decision trees, and neural networks

• Bachelors degree in Computer Science, Mathematics, Computer Engineering, or a related field