Job Details

The Machine Learning Engineer Platforms supports the development, reliability, and scalability of the enterprise AI/ ML platform used across clinical and business operations. The role focuses on ML - Ops engineering, platform integration, automation, container management, model monitoring, and lifecycle governance. The engineer partners closely with data scientists, ML engineers, and enterprise IT teams to support AI development and deployment, while ensuring compliance, performance, and responsible AI practices. Major Work Activities Technical ExpertiseSupport development, administration, and maintenance of the enterprise AI/ ML platform (Dataiku, Kubernetes, Azure), ensuring scalability, reliability, and smooth integration with institutional systems. Orchestrate training, deployment, and inference pipelines within Dataiku targeting Azure and on-premises Kubernetes clusters. Develop and maintain ML - Ops workflows for reproducibility, version control, governance, and model lifecycle...Machine Learning, Platform, Data Science, Software Engineer, Data Scientist, Engineer, Technology