Integration / deployment of AI models into production‑adjacent systems (edge/server, FDC/MES/R2R/SPC), including monitoring and drift management * IT / OT stakeholder management and coordination (manufacturing, engineering, A&D, AI key users, facility, etc.) * First professional experience in Data Science / Machine Learning / Traditional AI in a manufacturing environment * Experience in computer vision and/or time‑series analysis (e.g., FDC, anomaly detection, predictive maintenance, process control) * 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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