Machine Learning Operations Engineer
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About The Position
At PGE, our work involves dreaming about, planning for, and realizing a smarter, cleaner, more enduring Oregon neighborhood. Its core to our DNA and we haven't stopped since we started in 1888. We energize lives, strengthen communities and drive advancements in energy that promote social, economic and environmental progress. We're always on the lookout for people passionate about leading and being a part of teams that are advancing innovative clean energy solutions that are also affordable and accessible to all. The Advanced Energy Delivery Technology Solutions (AEDTS) team at Portland General Electric plays a crucial role in advancing our clean energy future through smart grid technology. We operate in two key areas: Horizontal: Serving enterprise-wide needs with AWS Cloud Data Lake, API management, data science, applications, and data products. Vertical: Supporting specific AED applications like the Outage Management System (OMS) and ARCOS Callout System. This dual approach enables the team to drive PGE's goals of decarbonization, electrification, and operational efficiency across the organization while also maintaining critical systems for reliable service delivery. Our team is seeking a skilled Machine learning operations (ML ops) engineer with Dev Ops, Data ops experience to develop, enhance and support our data science models and workflows. The ideal candidate will have a strong background in cloud technologies, containerization, and automation, with a focus on applying these skills to machine learning environments.
