Description
Ford is hiring a senior individual-contributor Data Engineer to build and operate the data foundations for its Sight portfolio of AI/ML anomaly-detection products. The role designs and maintains OT-to-cloud ingestion pipelines, batch and streaming data processing, data models, quality controls, image and video datasets, MLOps support, governance, security, and reusable onboarding patterns across Ford's global manufacturing footprint. It is based primarily in GTBC Ford México in Naucalpan, with periodic international travel to Europe and the United States, and requires a bachelor's degree or equivalent experience, at least five years of hands-on data engineering experience, advanced SQL and Python, and practical experience with Google Cloud Platform.
