Lead enterprise machine learning operations with Databricks and AWS in a hybrid Wawanesa position available across multiple Canadian offices. Build production AI systems supporting business and analytics teams.As a Senior Machine Learning Operations Engineer, you will design, deploy, monitor, and operationalize machine learning and AI solutions. You will develop MLOps frameworks, collaborate with engineering and architecture, and establish secure practices.

The work includes data pipelines, governance, and lifecycle management.Key Responsibilities:

Prioritize AI and machine learning use cases with stakeholdersBuild enterprise MLOps frameworks for model lifecycle managementDevelop solutions using Databricks, MLflow, and Unity CatalogMonitor model drift, performance,



explainability, and alertingEstablish CI/CD pipelines for AI deploymentsRequirements:

More than five years developing enterprise machine learning solutionsHands-on Databricks experience, including MLflow and Model ServingEnd-to-end MLOps experience on Databricks or AWS SageMakerKnowledge of governance, Responsible AI, and Model Risk ManagementExperience with cloud data platforms, security, and access controlsApply enterprise MLOps expertise, Databricks capabilities, and AWS experience to production machine learning at Wawanesa.

📌 Senior Mlops Engineer Databricks Aws (Winnipeg)
🏢 Skillhub Solutions
📍 Winnipeg