Digital Twin Machine Learning Engineer

Shape Point11 digital twins with forecasting and model evaluation while working hybrid from the Toronto office three days weekly.This Machine Learning Engineer role focuses on making digital twins faithfully represent the customers they stand in for. You will build models from company records, assess predicted outcomes, and improve twins through campaign learning. Your work includes features, training, deployment, experiments, and production quality. You will also partner with AI Engineers on model and LLM agent boundaries.Key Responsibilities:
Own digital twin modelling from features through deploymentEvaluate predictions against real customer outcomesTurn campaign answers into brand demand forecastsRun experiments with clear hypotheses and honest resultsCollaborate on models and LLM agent boundariesRequirements:
Experience shipping production machine learning modelsStrong Python and modern machine learning stack knowledgeRigor with evaluation, baselines, and statistical validityClear communication with engineers and customersToronto location or relocation willingnessBring forecasting, modelling, experimentation, and communication skills to improve Point11 digital twin quality in production.
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