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.

📌 Senior MLOps Engineer Databricks AWS (Winnipeg)
🏢 Skillhub Solutions
📍 Winnipeg