Machine Learning Data Pipeline Engineer
Point11
Build privacy-conscious machine learning infrastructure for Point11’s agent-era products from a hybrid Toronto office schedule. As a Machine Learning Engineer, you will transform customer CRM and warehouse records into model-ready data. You will design pipelines that help each customer’s digital twins improve without leaking information across companies. The role combines production modelling, forecasting, rigorous evaluation, experimentation, and deployment. Point11 is founded by ex-Googlers and is hiring for its Canadian team. Key Responsibilities:
Build customer data pipelines from CRMs and warehouses Design isolated training and evaluation pipelines Develop forecasting models for brand planning Run experiments using clear hypotheses Own deployed model quality in production Requirements:
Trained and shipped machine learning models in production Strong Python and modern machine learning stack capability Experience with rigorous evaluation and statistical validity Ability to explain model behavior to customers Toronto-based or willing to relocate Use Python, data pipelines, privacy-aware modelling, and evaluation to advance Point11 digital twins for agent-driven interactions.
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Build customer data pipelines from CRMs and warehouses Design isolated training and evaluation pipelines Develop forecasting models for brand planning Run experiments using clear hypotheses Own deployed model quality in production Requirements:
Trained and shipped machine learning models in production Strong Python and modern machine learning stack capability Experience with rigorous evaluation and statistical validity Ability to explain model behavior to customers Toronto-based or willing to relocate Use Python, data pipelines, privacy-aware modelling, and evaluation to advance Point11 digital twins for agent-driven interactions.
#J-18808-Ljbffr
Reference: WJ-3875_16152988 · Posted 11 Nov 2026, 08:29 PM