Job Description
Elevate operational efficiency as a Senior Data Developer at Dialogue. Drive innovations in scheduling systems and forecasting models to enhance patient care across Canada while enjoying a hybrid work setting. In this pivotal role, you will bridge data engineering, applied machine learning, and backend development. You will lead the design and maintenance of robust pipelines and architectures, enabling advancements in operational scheduling. Collaborating with cross‑functional teams, your contributions will significantly impact healthcare delivery in Canada. Key Responsibilities
Build and maintain ML forecasting training and inference pipelines Develop CI workflows for ML models and optimization configurations Create real‑time and batch inference pipelines for scheduling Implement observability metrics and logging for production models Design tooling for data scientists to experiment and improve Requirements
Experience with ML training and inference pipelines Familiar...
Build and maintain ML forecasting training and inference pipelines Develop CI workflows for ML models and optimization configurations Create real‑time and batch inference pipelines for scheduling Implement observability metrics and logging for production models Design tooling for data scientists to experiment and improve Requirements
Experience with ML training and inference pipelines Familiar...
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