Job Description
Job Details Job Title:
Senior AI/ML Platform Engineer
Location:
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 experienced
Senior AI/ML Platform Engineer
to lead the design, development, and implementation of scalable MLOps pipelines on
Azure
and
Databricks . 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 Responsibilities
Design 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.
...
Senior AI/ML Platform Engineer
Location:
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 experienced
Senior AI/ML Platform Engineer
to lead the design, development, and implementation of scalable MLOps pipelines on
Azure
and
Databricks . 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 Responsibilities
Design 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.
...
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