ML Platform Engineer — Databricks & MLOps; Hybrid
Job Description & How to Apply Below
A major Canadian insurance firm is seeking an ML Engineer for a hybrid role in Guelph. This position involves designing and operating production-grade ML platforms on Databricks, implementing MLOps workflows, and developing CI/CD pipelines using tools such as Git Hub Actions and Azure Dev Ops. The ideal candidate has a strong proficiency in Python and hands-on experience with mlflow, ensuring safe model deployment and monitoring.
A competitive salary between $100,000 and $150,000 per year is offered.
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