Responsibilities: Develops, researches, and applies machine learning, deep learning, visual artificial intelligence algorithms and methods to data sets to produce models to be deployed in an operational aspectDevelops hypotheses based on data analysis and trends, and compares real-time results with predictions to update and fine-tune algorithmsDevelops assessment methods to ensure production models are robust and reliableCollaborates with different business units and stakeholdersDevelops, inspects, mines, transforms, and models data to raise productivity, improve decision making, and gain competitive advantageConducts quantitative and qualitative analysis on data to generate insights and information to ensure correct predictive forecasting or classificationMaintains analytical systems, verifies the accuracy of the data, and acts as liaison with businessImplementing emerging AI/ML solutions from commercial and academic domains to support military and government agencies with prediction, classification, and anomaly detection tasksEvaluating, visualizing, and performing statistical analysis on data sets including time-series, multi-modal, and textual dataTraining deep neural networks including MLPs, CNNs, Transformers, and others as requiredWorking with existing modeling and simulation (M&S) tools to develop data for new AI/ML models. Preferred Qualifications: Hands-on experience with PyTorch and related Python librariesExperience with unsupervised learning including clustering algorithms and manifold learningStrong writing and presentation skills are preferred.