AI Engineer

The AI Engineer at EOS Defense Systems USA, Inc develops, integrates, and supports artificial intelligence and machine learning solutions for advanced defense and aerospace applications. This on-site role focuses on preparing data, building and evaluating models, and embedding AI software into engineering systems with attention to performance, security, and responsible AI use.

Key Responsibilities

• Develop, train, evaluate, and maintain AI and machine learning models to support program objectives.
• Partner 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 could impact model performance.
• Set 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.
• Create reproducible training workflows, automated tests, and version control for code, data, and model artifacts.
• Review testing results, troubleshoot model and integration issues, and recommend corrective actions.
• Follow secure development and responsible AI practices, including documenting limitations and supporting appropriate human oversight.
• Produce technical documentation such as 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.

Required Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related technical field.
• At least 1 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, including the ability to communicate technical concepts to engineering teams and customers.
• Ability to obtain and maintain a U.S. security clearance.

Technologies

• Python
• PyTorch
• TensorFlow
• scikit-learn
• C++

Preferred Qualifications

• 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.

Benefits

• Excellent insurance coverage
• 401(k) match
• Generous PTO
• Tuition Reimbursement
• 9/80 Work Schedule

Location and Work Model

Huntsville, AL (onsite) at the company facility.