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 stakeholders
Build enterprise MLOps frameworks for model lifecycle management
Develop solutions using Databricks, MLflow, and Unity Catalog
Monitor model drift, performance, explainability,
and alerting
Establish CI/CD pipelines for AI deployments
Requirements: More than five years developing enterprise machine learning solutions
Hands-on Databricks experience, including MLflow and Model Serving
End-to-end MLOps experience on Databricks or AWS SageMaker
Knowledge of governance, Responsible AI, and Model Risk Management
Experience with cloud data platforms, security, and access controls
Apply enterprise MLOps expertise, Databricks capabilities, and AWS experience to production machine learning at Wawanesa.