AI/ML Model Development & Maintenance for Financial Crime Detection

The contract entails the development, training, and ongoing maintenance of machine learning models designed to identify anomalous patterns in cryptocurrency transactions associated with financial crime. The work focuses on creating advanced AI systems capable of detecting suspicious activities such as money laundering, terrorist financing, or illicit market transactions by analyzing vast volumes of blockchain data. Models must be continuously refined to adapt to evolving criminal tactics, ensure high accuracy, and minimize false positives while operating in a dynamic, global digital asset environment. This subcontract is issued under the NAICS code 541715 for research and development in the physical, engineering, and life sciences, and is managed by the Department of Homeland Security’s Investigations And Operations Support Dallas office. Performance is expected to take place in Fairfax, with no set-aside designation specified. The project requires deep expertise in both machine learning and financial crime analysis, with an emphasis on scalability, real-time processing, and regulatory compliance. The contractor will be responsible for delivering robust, secure, and interpretable models that support law enforcement and investigative operations targeting illicit cryptocurrency flows.