Principal Machine Learning Engineer at Regions Bank
Birmingham, Alabama, United States
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Summary
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Senior
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Jason Eisele is a Principal Machine Learning Engineer with eight years of experience building production ML and data solutions across e-commerce, automotive manufacturing, and financial services. He combines an MBA in Business Analytics with hands-on engineering to deliver end-to-end systems—data ingestion, modeling, deployment, and monitoring—using cloud and streaming technologies. At Regions Bank and previously Shipt and Mercedes‑Benz, he has applied a broad stack (Python, Airflow, MLflow, Databricks, Azure, Kafka/RabbitMQ, Grafana/Qlik) to drive operational improvements and actionable insights. A former Navy reactor mechanic and reliability engineer, he brings disciplined systems thinking, strong operational rigor, and experience leading cross-functional teams. He’s comfortable translating business needs into scalable, monitored ML pipelines and has a track record of improving decision velocity in complex, regulated environments.
8 years of coding experience
9 years of employment as a software developer
Master of Business Administration (MBA) Business Analytics, Master of Business Administration (MBA) Business Analytics at Syracuse University - Martin J. Whitman School of Management
Nuclear/Nuclear Power Technology/Technician, Nuclear/Nuclear Power Technology/Technician at Nuclear Power School - Naval Nuclear Power Training Command (NNPTC)
Bachelor of Science - BS Nuclear Engineering, Bachelor of Science - BS Nuclear Engineering at Thomas Edison State University
Contributions:1 release, 25 commits, 30 pushes in 7 months
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Jason Eisele - Principal Machine Learning Engineer at Regions Bank