Senior Machine Learning Operations Engineer
Wawanesa
Drive AI and ML solutions at Wawanesa as a Senior Machine Learning Operations Engineer in a hybrid work model. Collaborate with cross-functional teams to operationalize advanced machine learning applications.
Join Wawanesa, a leading Canadian mutual insurance company, as a Senior Machine Learning Operations Engineer. This hybrid role demands your skills in designing, deploying, and monitoring scalable AI products while collaborating with business stakeholders and Data Science teams. Your expertise in MLOps frameworks and cloud platforms will directly impact the business by turning opportunities into actionable solutions.
Key Responsibilities: • Design and maintain MLOps frameworks for model lifecycle management • Implement machine learning solutions using Databricks and MLflow • Establish automated CI/CD deployment pipelines for AI • Monitor models for performance, data drift, and reliability • Collaborate on governance and compliance for AI deployments
Requirements: • Over 5 years of experience with enterprise machine learning • Hands-on with Databricks Lakehouse and AWS services • Knowledge of AI governance and Responsible AI practices • Experience with CI/CD pipelines for ML workflows • Advanced degree in Data Science or related field
Leverage your machine learning expertise in a hybrid role at Wawanesa, contributing to innovative AI initiatives. #J-18808-Ljbffr
Join Wawanesa, a leading Canadian mutual insurance company, as a Senior Machine Learning Operations Engineer. This hybrid role demands your skills in designing, deploying, and monitoring scalable AI products while collaborating with business stakeholders and Data Science teams. Your expertise in MLOps frameworks and cloud platforms will directly impact the business by turning opportunities into actionable solutions.
Key Responsibilities: • Design and maintain MLOps frameworks for model lifecycle management • Implement machine learning solutions using Databricks and MLflow • Establish automated CI/CD deployment pipelines for AI • Monitor models for performance, data drift, and reliability • Collaborate on governance and compliance for AI deployments
Requirements: • Over 5 years of experience with enterprise machine learning • Hands-on with Databricks Lakehouse and AWS services • Knowledge of AI governance and Responsible AI practices • Experience with CI/CD pipelines for ML workflows • Advanced degree in Data Science or related field
Leverage your machine learning expertise in a hybrid role at Wawanesa, contributing to innovative AI initiatives. #J-18808-Ljbffr
Reference: WJ-3875_15504217 · Posted 07 Nov 2026, 04:39 AM