Machine Learning Engineer

• Develop rapid prototypes, microservices, APIs, widgets, and integrations to validate new AI/ML concepts.
• Integrate ML models into dashboards, applications, and operational workflows.
• Build lightweight UI components that demonstrate how AI outputs can be consumed.
• Optimize ML pipelines for performance, scalability, and efficient inference.
• Collaborate with AI/ML Architects and Data Scientists to operationalize models and automation logic.
• Support data ingestion, feature engineering, and preprocessing tasks for prototype development.
• Build API wrappers, routing logic, and connector services for ML model interactions.
• Validate prototype functionality, performance, error handling, and model integration.
• Contribute to documentation of models, prototypes, integrations, and deployment patterns.
• Work with cybersecurity teams to ensure integration patterns align with security requirements.
• Recommend improvements based on usability testing, technical feedback, and mission needs.

AI/ML Engineer

Machine Learning Engineer Intern

Senior AI Engineer

AI Engineer Intern, Summer 2026

Product Manager – Conversational AI Platform

Principal Machine Learning Engineer