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Noblis is seeking experts in Artificial Intelligence/Machine Learning to assist National Aeronautics and Space Administration's (NASA) Air Traffic Management (ATM-X) project in accelerating transformation of the National Airspace System (NAS). The work will support the Digital Information Platform (DIP). The candidate will provide full software development lifecycle services spanning the design, development, test, and deployment of innovative software solutions with a strong emphasis on user experience, human factors, and software quality to enhance FAA operations. The work supports the open source release of machine learning (ML) services by ensuring that the machine learning service Python scripts follow proper coding standards, are well-documented, and checked into software configuration management (git). The candidate will analyze ML models from the production environments by developing a sample query to ML model prediction database and metrics and plots to visualize accuracy (offline) with matplotlib/seaborn/plotly. The candidate will develop SQL queries to select the desired metrics from the databases over the timeframe of interest at each airport, identify significant areas and problems to be investigated/quantified based on inputs from industry partners and federal agencies. The candidate will frame the problem space by using a modeling/analytical approach including a fast-time simulation capability and developing performance requirements for operations, proposing and developing solutions by extending and integrating NASA technologies and capabilities.