Job Description:

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.

Key Responsibilities

  • 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

Required Skills & Qualifications

  • 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

Preferred Qualifications

  • 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

Working Place:

Camp Pendleton, California, United States

Company :

2026 Jan 29th Virtual Fair - Auria Space