AI Engineer

EOS Defense Systems USA•Huntsville, AL

10d•Onsite

About The Position

EOS Defense Systems USA is hiring an on-site AI Engineer to develop, integrate, and support artificial intelligence and machine learning solutions for defense and aerospace applications. This mid-level role works with multidisciplinary engineering teams to translate program requirements into reliable, maintainable AI capabilities. The work includes preparing data, developing and evaluating models, and integrating AI software into engineering systems, with emphasis on performance, security, and responsible use. The position is based at the company’s facility and follows a 9/80 work schedule.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related technical field.
At least one year of professional experience in artificial intelligence, machine learning, or software engineering, including hands-on development and integration of machine learning models.
Proficiency in Python and experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
Knowledge of supervised and unsupervised learning, deep learning, and model evaluation techniques.
Experience preparing, cleaning, labeling, and validating datasets for model training and testing.
Experience integrating machine learning models into software applications using version control, automated testing, and sound software engineering practices.
Ability to assess model accuracy, robustness, latency, and computational resource requirements.
Strong analytical, troubleshooting, and problem-solving skills, with the ability to communicate technical concepts to engineering teams and customers.
Ability to obtain and maintain a U.S. security clearance.

Nice To Haves

Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
Experience with computer vision, time-series analysis, anomaly detection, or sensor data processing.
Experience deploying and optimizing models on embedded, edge, or GPU-based computing platforms.
Proficiency in C++ and familiarity with real-time or resource-constrained software systems.
Familiarity with MLOps practices, including experiment tracking, model versioning, deployment pipelines, and performance monitoring.
Experience with defense or aerospace engineering environments and secure development practices.
Knowledge of responsible AI practices, including explainability, bias assessment, data governance, and human oversight.
Active Secret or Top Secret security clearance.

Responsibilities

Develop, train, evaluate, and maintain AI and machine learning models to support program objectives.
Collaborate with systems, software, electrical, and test engineers to define AI requirements, interfaces, and acceptance criteria.
Prepare and validate datasets, document data sources, and identify data quality issues that may affect model performance.
Establish evaluation metrics and test models against representative conditions, including edge cases and changing data distributions.
Integrate AI models into software applications and engineering systems, supporting laboratory and field testing as required.
Optimize model inference performance, memory usage, and computational efficiency for target platforms.
Implement reproducible training workflows, automated tests, and version control for code, data, and model artifacts.
Analyze test results, troubleshoot model and integration issues, and recommend corrective actions.
Apply secure development and responsible AI practices, including documenting limitations and supporting appropriate human oversight.
Prepare technical documentation, including design descriptions, evaluation reports, integration procedures, and user guidance.
Participate in technical reviews, customer discussions, and program milestones.
Support trade studies, prototype development, and proposal efforts as required.