Join Insight Global as a Machine Learning Engineer focused on production-ready forecasting models and robust monitoring capabilities. Leverage your expertise in Python and Azure ML to drive scalable business solutions. In this role, you will collaborate with data scientists, demand planners, and platform teams to create reliable forecasting solutions.

Your responsibilities will include developing and maintaining ML pipelines in Azure ML, ensuring engineering best practices, and automating deployment processes. You'll also be tasked with building monitoring systems for data quality and model performance. Key Responsibilities:

- Refactor forecasting models into reusable components
- Establish engineering best practices and workflows
- Design training and inference pipelines in Azure ML
- Automate deployment and testing processes using Azure DevOps
- Create technical documents for stakeholders Requirements:
- 3+ years of experience in ML Engineering or related fields
- Proficiency in Python and Azure ML tools
- Robust SQL and Snowflake skills
- CI/CD experience with Azure DevOps
- Knowledge of explainability techniques Utilize your skillset in ML and Azure to enhance forecasting capabilities at Insight Global.

📌 Machine Learning Engineer in Azure (Toronto)
🏢 Insight Global
📍 Toronto