The ML Data Engineer develops and maintains machine learning pipelines and systems, collaborating with teams to optimize manufacturing processes through data-driven insights and predictive models.

Lead product development for key areas: own roadmap, drive discovery, collaborate with design and engineering, prioritize customer problems, launch features, define success metrics, and scale product processes.