AI/ML Engineer

Overview DecisionPoint seeks an AI/ML Engineer to rapidly develop prototypes, implement integrations, and operationalize AI/ML capabilities that support a large federal and DoD-aligned mission environment. This role builds fast proofs-of-concept, API-based integrations, and lightweight user-facing components that validate new AI/ML ideas and help transition successful models into production dashboards and applications. The AI/ML Engineer collaborates closely with data scientists, dashboard teams, developers, and PMO leadership to ensure AI/ML models are usable, optimized, and appropriately embedded into mission workflows. This position is fully remote. Duties & Responsibilities The AI/ML Engineer will: 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 deploy