AI/ML & MLOps Engineer (Senior)

Overview DecisionPoint seeks a Senior AI/ML & MLOps Engineer to build, deploy, monitor, maintain, and govern production machine learning capabilities supporting the USMEPCOM ENLIST program. This position will maintain training, validation, and testing datasets; develop automated model deployment pipelines; monitor deployed models; detect data and model drift; and control updates to production models, datasets, configurations, and supporting services. The engineer will implement repeatable, traceable, and secure processes for promoting machine learning capabilities from development through testing and into production. The Senior AI/ML & MLOps Engineer will work with data scientists, data engineers, cloud architects, software developers, cybersecurity personnel, testers, operations teams, and Government mission owners. The successful candidate must be able to combine machine learning engineering with deployment automation, monitoring, version control, rollback planning, and model and data governance. This position is remote, with Chicago-area candidates preferred. Note: By applying to this position, you acknowledge and consent to having your resume included in an active competitive government contract bid. Duties & Responsibilities The Senior AI/ML & MLOps Engineer will: Maintain training, validation, and testing datasets used for machine learning development and evaluation. Develop repeatable processes for dataset ingestion, preparation, transformation, validat