Machine Learning Engineer

Insight Global; Toronto; On-site; CAD 83,000 - 96,000; Full time

Job summary

Insight Global is seeking a Machine Learning Engineer to put forecasting models into production, building monitoring, observability, and explainability capabilities for trusted business forecasting. The role partners closely with data scientists, demand planners, and platform teams to deliver scalable forecasting solutions.

Key responsibilities include production-ready refactors, design of training and inference pipelines in Azure ML, and feature engineering in Snowflake, with CI/CD via Azure

Qualifications

• 3+ years of ML Engineering, Data Engineering, or Software Engineering experience.
• Strong Python development and software engineering fundamentals.
• Production experience with Azure ML (pipelines, compute, model registry, endpoints, MLflow).
• Strong SQL and Snowflake expertise.
• CI/CD experience using Azure DevOps or similar tools.
• Experience building ML monitoring and observability frameworks.
• Knowledge of explainability techniques (SHAP, permutation importance, forecast decomposition).
• Time series forecasting experience, including backtesting and evaluation.
• Strong communication and stakeholder management skills.

Responsibilities

• Refactor forecasting models into production-ready, tested, and reusable components.
• Establish engineering best practices, standards, and development workflows.
• Design and maintain training, backtesting, and inference pipelines in Azure ML.
• Develop feature engineering and data preparation solutions in Snowflake.
• Automate deployment, testing, model promotion, and rollback processes using Azure DevOps.
• Support forecast integration with the o9 planning platform.
• Build monitoring for data quality, drift detection, pipeline health, and forecast accuracy.
• Implement model lineage, traceability, and governance capabilities.
• Develop explainability solutions and forecasting insights for business users.
• Create technical documentation and communicate solutions to both technical and business stakeholders.

Skills

Python

Time series forecasting

Communication

Stakeholder management

Backtesting

Tools

Azure ML

Snowflake

Azure DevOps

MLflow

SHAP

Job description

Insight Global is looking for a Machine Learning Engineer to put into production forecasting models and build the monitoring, observability, and explain capabilities needed for trusted business forecasting.

The role partners closely with data scientists, demand planners, and platform teams to deliver scalable and reliable forecasting solutions.

Key Responsibilities

• Refactor forecasting models into production-ready, tested, and reusable components
• Establish engineering best practices, standards, and development workflows
• Design and maintain training, backtesting, and inference pipelines in Azure ML
• Develop feature engineering and data preparation solutions in Snowflake
• Automate deployment, testing, model promotion, and rollback processes using Azure DevOps
• Support forecast integration with the o9 planning platform
• Build monitoring for data quality, drift detection, pipeline health, and forecast accuracy
• Implement model lineage, traceability, and governance capabilities
• Develop explainability solutions and forecasting insights for business users
• Create technical documentation and communicate solutions to both technical and business stakeholders

Required Skills & Experience

• 3+ years of ML Engineering, Data Engineering, or Software Engineering experience
• Strong Python development and software engineering fundamentals
• Production experience with Azure ML (pipelines, compute, model registry, endpoints, MLflow)
• Strong SQL and Snowflake expertise
• CI/CD experience using Azure DevOps or similar tools
• Experience building ML monitoring and observability frameworks
• Knowledge of explainability techniques (SHAP, permutation importance, forecast decomposition)
• Time series forecasting experience, including backtesting and evaluation
• Strong communication and stakeholder management skills

Nice to Have Skills & Experience

• Experience with o9 Solutions, SAP IBP, Kinaxis, or Blue Yonder
• CPG, retail, or supply chain planning experience
• Feature stores, containerisation, and Infrastructure as Code (IaC)

Vacancy: This posting is for a currently vacant role, and the successful candidate will be hired into an existing open position.

Pay Rate: $60-70/hr

We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.