Build production machine learning models for Point11’s digital twins in Toronto, using Python, evaluation, and data pipelines in a hybrid role.As a Machine Learning Engineer, you will own the models and data behind digital twins. You will measure predictive accuracy, improve customer representations, and support intelligent campaign interactions. The work spans forecasting, training, evaluation, deployment, and collaboration with AI Engineers. Point11’s small team is building infrastructure for the agent era.Key Responsibilities:
Measure digital twins against real customer outcomesBuild forecasting models from campaign answersDesign training and evaluation pipelines for customer twinsDevelop CRM and warehouse data pipelinesDeploy models and own production qualityRequirements:
Production experience training and shipping machine learning modelsStrong Python and contemporary machine learning stack skillsRigorous evaluation, baselines, and statistical validity practicesAbility to explain model behavior clearlyToronto presence or willingness to relocate;
hybrid office attendanceApply machine learning, Python, evaluation, and deployment expertise to strengthen Point11 digital twins in Toronto.
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📌 Production Machine Learning Engineer Winnipeg
🏢 Point11
📍 Winnipeg