SMG is seeking a Machine Learning Engineer to turn experimental models into dependable production systems within our Data function. You’ll work across the full ML lifecycle, from feature engineering to deployment and monitoring, enabling robust model code behind SMG’s Core Intelligence Services.
In this lean, fast-moving environment, you’ll collaborate with data scientists, data engineers, and DevOps to build scalable, reliable ML capabilities for forecasting, optimization, and recommendations
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