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/MLDevelop scalable CI/CD pipelines for automated deploymentSupport the productionization of AI models from data scientistsHandle container management using DockerMonitor system performance and resolve operational issuesRequirements:3+ years of experience in systems engineering or related fieldProficiency in Docker, Python, and CI/CD toolsExperience in relational databases and understanding of data lakesSkills in ML model management and production processesStrong problem-solving and communication abilitiesAdvance 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