Job Description
Take charge of machine learning operations as a Senior AI/ML Platform Engineer in Toronto, ON, working in a hybrid model. Focus on building MLOps pipelines on Azure and Databricks.
This key role in Technology Advisory Services seeks an experienced engineer skilled in the entire ML lifecycle. Your expertise will ensure the successful deployment, monitoring, and optimization of machine learning models. Collaborating with Data Scientists and Engineers, you'll create high-quality pipelines while maintaining compliance and security.
Key Responsibilities:
• Develop and implement complete MLOps pipelines on Azure
• Work with teams to automate model processes
• Create scalable data pipelines for enhanced ML workflows
• Establish CI/CD for ML artifacts and model testing
• Troubleshoot and monitor production ML services
Requirements:
• Bachelor’s or Master’s degree in a relevant field
• Over 5 years in software and ...
This key role in Technology Advisory Services seeks an experienced engineer skilled in the entire ML lifecycle. Your expertise will ensure the successful deployment, monitoring, and optimization of machine learning models. Collaborating with Data Scientists and Engineers, you'll create high-quality pipelines while maintaining compliance and security.
Key Responsibilities:
• Develop and implement complete MLOps pipelines on Azure
• Work with teams to automate model processes
• Create scalable data pipelines for enhanced ML workflows
• Establish CI/CD for ML artifacts and model testing
• Troubleshoot and monitor production ML services
Requirements:
• Bachelor’s or Master’s degree in a relevant field
• Over 5 years in software and ...