ML Platform Engineer: MLOps, Data Pipelines & Cloud
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Description
Air Liquide, through Digital & IT Data & AI Applications, seeks an experienced Machine Learning Engineer to own ML lifecycle execution across development to production. You will collaborate with data scientists, engineers and product teams to deploy scalable ML solutions and continuously improve platforms.
You will deploy robust ML pipelines, optimize performance and contribute to ML Ops initiatives within a global engineering chapter, while mentoring colleagues and participating in Agile
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