Opportunity Description
Join SickKids AI as an ML Deployment Engineer, focusing on transforming pediatric healthcare with cutting-edge AI solutions. Contribute to both infrastructure management and production models in a supportive hybrid environment.
As a key player on the SKAI team, you'll bridge AI/ML model development and production deployment. Your responsibilities include designing, deploying, and maintaining a hybrid infrastructure that spans both on-premises and cloud environments. You'll work closely with data scientists and software engineers to streamline the path from prototypes to production.
Key Responsibilities:
• Design and maintain hybrid on-premises/cloud infrastructure
• Productionize AI/ML models with robust deployment pipelines
• Build CI/CD pipelines for automated testing and deployment
• Manage containerized workloads using Docker
• Develop data pipelines for transforming data across environments
Requirements:
• ...
As a key player on the SKAI team, you'll bridge AI/ML model development and production deployment. Your responsibilities include designing, deploying, and maintaining a hybrid infrastructure that spans both on-premises and cloud environments. You'll work closely with data scientists and software engineers to streamline the path from prototypes to production.
Key Responsibilities:
• Design and maintain hybrid on-premises/cloud infrastructure
• Productionize AI/ML models with robust deployment pipelines
• Build CI/CD pipelines for automated testing and deployment
• Manage containerized workloads using Docker
• Develop data pipelines for transforming data across environments
Requirements:
• ...
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