AI Engineer

Responsibilities

• Develop, train, validate, deploy, optimize, and operationalize AI and ML models.
• Design model deployment pipelines and MLOps workflows across cloud, edge, and hybrid environments.
• Implement monitoring frameworks for model drift, performance degradation, and operational issues.
• Integrate models with enterprise and mission systems and support secure, scalable infrastructure.
• Evaluate AI and ML frameworks and model architectures and guide feature engineering approaches.
• Support model fine-tuning, retraining cycles, model evaluation, and lifecycle strategy.
• Collaborate with data engineers, data scientists, cloud and network architects, and ISSE partners.

Requirements

• Experience with 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 for model training, tuning, and inference.
• Knowledge of model evaluation techniques.
• Ability to design model deployment pipelines and MLOps workflows.
• Ability to implement monitoring frameworks for model drift, performance degradation, and operational issues.
• TS/SCI clearance with a polygraph is required.
• HS diploma or GED with 6+ years of data science or AI/ML engineering experience, or a bachelor’s degree with 4+ years of such experience.
• Preferred qualifications include distributed compute experience, mission-focused or national security experience, AI model architecture evaluation, secure AI engineering knowledge, adversarial robustness, model governance, NIST AI RMF, and a bachelor’s degree.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave, professional development, tuition assistance, work-life programs, and dependent care.
• Recognition awards for exceptional performance and demonstration of company values.
• Full-time and part-time employees working at least 20 hours per week on a regular basis are eligible for the applicable benefit programs.
• The position is onsite in Fort Meade, Maryland, with work primarily performed full-time at a customer facility.
• The posting states that it will close within 90 days from the posting date.