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Data & ML engineer at a logistics company in Singapore, building end-to-end data warehouse and ML solutions on Snowflake and Azure, with Qlik dashboards for actionable insights. Day-to-day work emphasizes DevOps/MLOps practices and cross-functional collaboration.
Leads global contract-logistics solution design, setting standards for warehousing, automation, and supply-chain optimization to deliver cost-effective, scalable customer solutions.
Position Summary: This role serves as a data evangelist, focusing primarily on Data & ML Engineering with a robust understanding of Data Science and data analysis experience. The ideal candidate will be proficient…
Position Summary We are seeking an experienced Project Manager with Warehouse Management Systems(WMS) to lead the planning, execution, and delivery of global projects, including WMS implementation and application…
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