AI/ML Engineer - Defense Analytics

- Explore the integration of machine learning and artificial intelligence into existing software microservice frameworks and functionalities. - Design and construct machine learning models aimed at anomaly detection, pattern recognition, and data-driven insights. - Utilize supervised and unsupervised learning techniques to analyze complex system and event data. - Create algorithms to identify patterns, correlations, and trends across large datasets. - Build and sustain data processing pipelines facilitating machine learning workflows. - Integrate machine learning capabilities into operational software systems and analytical tools. - Develop model architectures that adapt as data formats and system capabilities evolve. - Collaborate with engineering and systems teams for integration, testing, and operational evaluation of new features. - Enhance the performance of machine learning-enabled software components in specialized computing situations. - Engage in testing and evaluation activities to confirm system performance and usability. - Document algorithms, models, and system behaviors for operational use and future development. - Create deployable software prototypes demonstrating machine learning functions in realistic testing environments. - Conduct user evaluations and verification activities to assess model effectiveness and usability. - Integrate feedback from analysts and system users to refine models and workflows. - Assist in implementing AI/ML capabilities within broader software and system architectures. - Contribute to technical documentation that supports transitioning prototypes into operational usage.