
This full-time Data Engineering and Machine Learning role within the IT Division focuses on building and operationalizing ML solutions for state and federal motor vehicle systems. The position involves designing end-to-end data pipelines, engineering features, and deploying models to cloud infrastructure for applications like anomaly detection. Key responsibilities include managing the full model lifecycle from dataset preparation and experimentation to production monitoring and performance tuning using tools like Azure Synapse, Spark, and Python. The role appeals to candidates seeking to drive data-driven decision-making across a large-scale government organization, offering the opportunity to work on mission-critical systems that enhance operational intelligence and system reliability.













