Machine Learning Data Pipeline Engineer

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 warehousesDesign isolated training and evaluation pipelinesDevelop forecasting models for brand planningRun experiments using clear hypothesesOwn deployed model quality in productionRequirements:
Trained and shipped machine learning models in productionStrong Python and modern machine learning stack capabilityExperience with rigorous evaluation and statistical validityAbility to explain model behavior to customersToronto-based or willing to relocateUse Python, data pipelines, privacy-aware modelling, and evaluation to advance Point11 digital twins for agent-driven interactions.
#J-18808-Ljbffr