Job Description
Join CIBC as an MLOps Engineer in Toronto and shape the future of enterprise machine learning solutions. Design critical workflows from ingestion to deployment with a focus on compliance.
In your role, you will be part of the AI Infrastructure & ML Ops team, responsible for building and maintaining MLOps pipelines. You'll collaborate closely with data engineers and developers, ensuring seamless integration of ML in production systems while monitoring compliance and regulatory requirements.
Key Responsibilities:
• Develop and test MLOps workflows for data processes
• Ensure regulatory compliance and monitoring of processes
• Collaborate to integrate machine learning solutions
• Optimize model packaging and deployment strategies
• Contribute to team documentation and knowledge sharing
Requirements:
• Over 5 years of experience with Python, CI/CD, and Azure
• Familiarity with Kubernetes and machine learning frameworks
• Educational background in Computer S...
In your role, you will be part of the AI Infrastructure & ML Ops team, responsible for building and maintaining MLOps pipelines. You'll collaborate closely with data engineers and developers, ensuring seamless integration of ML in production systems while monitoring compliance and regulatory requirements.
Key Responsibilities:
• Develop and test MLOps workflows for data processes
• Ensure regulatory compliance and monitoring of processes
• Collaborate to integrate machine learning solutions
• Optimize model packaging and deployment strategies
• Contribute to team documentation and knowledge sharing
Requirements:
• Over 5 years of experience with Python, CI/CD, and Azure
• Familiarity with Kubernetes and machine learning frameworks
• Educational background in Computer S...
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