Senior ML Engineer (Client Solutions)

Own the full ML delivery lifecycle: data discovery and cleaning, modeling, evaluation, deployment into the client environment, scheduling, monitoring, and retraining policy. - Build forecasting and detection models that hold up against real-world data quality issues (late feeds, revised rows, missing labels). - Backtest and evaluate models honestly enough to stake real operational decisions on them, and defend your…

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