Opportunity Description
Job Details
Job Title:Senior AI/ML Platform EngineerLocation:Toronto, ON (Hybrid - 2 days in office)Job Type:Contract (6 months to start - extendable)Job Summary
For our Technology Advisory Services division, we are seeking a highly skilled and experiencedSenior AI/ML Platform Engineerto lead the design, development, and implementation of scalable MLOps pipelines onAzureandDatabricks . This role will focus on optimizing the lifecycle of machine learning models — from development to deployment and monitoring — while ensuring high availability, performance, and security.Key ResponsibilitiesDesign and implement end-to-end MLOps pipelines using Azure Machine Learning, Databricks, MLflow, and related tools.Collaborate with Data Scientists, Engineers, and DevOps teams to automate model training, validation, deployment, and monitoring processes.Build scalable data pipelines and integrate feature engineering workflows in Databricks.Set up model versioning, testing, and CI/CD workflows fo...
Job Title:Senior AI/ML Platform EngineerLocation:Toronto, ON (Hybrid - 2 days in office)Job Type:Contract (6 months to start - extendable)Job Summary
For our Technology Advisory Services division, we are seeking a highly skilled and experiencedSenior AI/ML Platform Engineerto lead the design, development, and implementation of scalable MLOps pipelines onAzureandDatabricks . This role will focus on optimizing the lifecycle of machine learning models — from development to deployment and monitoring — while ensuring high availability, performance, and security.Key ResponsibilitiesDesign and implement end-to-end MLOps pipelines using Azure Machine Learning, Databricks, MLflow, and related tools.Collaborate with Data Scientists, Engineers, and DevOps teams to automate model training, validation, deployment, and monitoring processes.Build scalable data pipelines and integrate feature engineering workflows in Databricks.Set up model versioning, testing, and CI/CD workflows fo...
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