Technical interface and coordination between manufacturing, engineering, AI key users, and IT/OT; active stakeholder management * Support during use‑case intake: analysis of new use cases, development/maintenance of a use‑case funnel, prioritization and preparation for management decisions * Operationalization in production: monitoring, drift/change management, continuous improvement * Solid knowledge of statistics and data‑driven root‑cause analysis (e.g., correlation, regression models, hypothesis testing), as well as skills in data engineering and MLOps (SQL, Git, Docker, CI/CD, model monitoring)
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