Become an ML Deployment Engineer at SickKids, where you can impact pediatric healthcare through AI solutions. Work in a hybrid environment focused on innovation and clinical excellence.
As part of the SKAI team, you will be responsible for managing infrastructure and ensuring the seamless operation of AI/ML systems in both on-premises and cloud environments. Your role will involve productionizing advanced AI models and creating deployment pipelines to improve health outcomes for children. Collaboration with experts will drive efficiency and reliability in our solutions.
Key Responsibilities:
• Maintain and enhance hybrid infrastructure for AI/ML
• Develop scalable CI/CD pipelines for automated deployment
• Support the productionization of AI models from data scientists




• Handle container management using Docker
• Monitor system performance and resolve operational issues
Requirements:
• 3+ years of experience in systems engineering or related field
• Proficiency in Docker, Python, and CI/CD tools
• Experience in relational databases and understanding of data lakes
• Skills in ML model management and production processes
• Strong problem-solving and communication abilities
Advance your career while making a critical difference in children's health care through cutting-edge AI technologies at SickKids.
#J-18808-Ljbffr

📌 Hybrid ML Deployment Engineer SickKids (Toronto)
🏢 The Hospital for Sick Children
📍 Toronto