About This Role
This engineering role focuses on developing, optimizing, and deploying AI and ML models for modern mission systems, ensuring they operate reliably at scale. The position requires technical depth and a problem-solving mindset to advance the development, deployment, and continuous improvement of AI models that directly support evolving mission needs.
Responsibilities
- Design, test, optimize, and operationalize models across cloud, edge, and hybrid environments
- Drive the technical direction for mission-critical AI solutions by selecting best-fit architectures, implementing robust deployment pipelines, and integrating models with enterprise and mission systems
- Collaborate closely with data engineers, data scientists, cloud and network architects, and ISSE partners to ensure models are supported by secure, scalable infrastructure and high-quality data pipelines
- Contribute technical leadership by evaluating emerging AI and ML frameworks, guiding feature engineering approaches, supporting fine-tuning and retraining cycles, and implementing monitoring frameworks to detect performance drift
- Help mission partners understand and navigate the rapidly evolving landscape of AI and ML technologies, ensuring deployed models remain performant, reliable, and aligned with operational objectives
- Solve complex real-world challenges and shape the model lifecycle strategy that will drive innovation across mission environments
Requirements
- Experience with programming languages such as Python or Rust
- Experience developing, training, validating, and deploying AI and ML models
- Experience optimizing AI and ML models
- Knowledge of computing, storage, and networking requirements across model training, tuning, and inference phases
- Knowledge of model evaluation techniques
- Ability to design and implement model deployment pipelines and MLOps workflows
- Ability to implement monitoring frameworks for detecting model drift, performance degradation, and operational issues
- TS/SCI clearance with a polygraph
- HS diploma or GED and 6+ years of experience with data science or AI and ML engineering, or Bachelor
Nice to have:
- Experience with distributed compute frameworks
- Experience working in mission-focused or national security environments
- Experience evaluating new AI model architectures
- Knowledge of secure AI engineering best practices such as adversarial robustness, model governance, or NIST AI RMF
- Bachelor
Benefits
- Health, life, disability, financial, and retirement benefits
- Paid leave
- Professional development
