Lead customer intelligence engineering at CTC with machine learning, generative AI, and large-scale transaction data expertise. Own a strategic platform end to end.
As a senior ML/AI Engineer, you will transition a third-party engine into a fully owned CTC capability. Master its code, prompts, models, data pipelines, and architecture while supporting Personalization, marketing, merchandising, dealer, and customer analytics use cases. Production ownership spans scheduled scoring, catalogue refreshes, monitoring, and remediation.

Key Responsibilities

Lead platform transition and establish independent technical ownershipOperate scoring, catalogue refreshes, releases, and production monitoringOwn classification, clustering, features, validation, and drift managementDevelop GenAI prompts, context,



models, outputs, and workflowsImprove accuracy, reliability, scalability, maintainability, runtime, and costRequirements:
Graduate-level education in a related technical discipline5+ years supporting production ML or AI solutionsAdvanced Python, SQL, PySpark, and Spark skillsProduction GenAI, prompt engineering, evaluation, and controls experienceAzure, Databricks, MLflow, and CI/CD experienceApply machine learning, generative AI, and production engineering expertise to CTC customer intelligence platforms and enterprise analytics.
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📌 Senior Machine Learning Engineer Customer Intelligence (Winnipeg)
🏢 FGL Sports
📍 Winnipeg