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 outcomes Build forecasting models from campaign answers Design training and evaluation pipelines for customer twins Develop CRM and warehouse data pipelines Deploy models and own production quality Requirements:
Production experience training and shipping machine learning models Strong Python and modern machine learning stack skills Rigorous evaluation, baselines, and statistical validity practices Ability to explain model behavior clearly Toronto presence or willingness to relocate; hybrid office attendance Apply machine learning, Python, evaluation, and deployment expertise to strengthen Point11 digital twins in Toronto.
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