Machine Learning Engineer
- Toronto, ON, Canada
Contract
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Original job description
Job Title: Machine Learning Engineer (Azure AI / MLOps)
Employment Type: Contract
Start Date: 2026-11-23
End Date: 2027-05-23
Location: Toronto
Work Arrangement: Hybrid – 3 days onsite per week
Must Haves:
- Advanced hands-on experience with Azure Machine Learning, Microsoft Foundry (Azure AI Foundry), and MLOps, including CI/CD, containers, APIs, automation, model deployment, monitoring, and observability.
- Strong Python and Machine Learning Engineering skills, with demonstrated experience taking ML models from experimentation into reliable production environments.
- Experience with the following technology stack: Python, SQL, Power BI, Power Automate, VS Code, Git, Jira, Azure ML Studio, Azure AI Foundry, and Databricks.
- Deep understanding of Machine Learning algorithms and statistical methods, including classification, regression, clustering, and feature engineering.
- Experience with model evaluation, hyperparameter tuning, model drift, retraining, performance optimization, and production model troubleshooting.
Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI-generated results are vetted by our team, and decisions regarding candidate progression are always made by a human.
More about this job
Responsibilities
Develop and operationalize machine learning models, taking them from experimentation into reliable production environments using Azure AI and MLOps practices. Deploy, monitor, troubleshoot, and optimize production models, including managing model drift and retraining.
Requirements
Requires advanced hands-on experience with Azure Machine Learning, Azure AI Foundry, MLOps, and strong Python and machine learning engineering skills. Candidates should also have experience with the listed technology stack and machine learning methods, model evaluation, hyperparameter tuning, drift management, retraining, and production troubleshooting.
Skills
- Azure Machine Learning
- Azure AI Foundry
- MLOps
- Python
- Machine Learning Engineering
- CI/CD
- Containers
- APIs
- Model Deployment
- Model Monitoring
- Observability
- SQL
- Power BI
- Power Automate
- Databricks
- Machine Learning Algorithms
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Engineering
Keywords
- Azure Machine Learning
- Microsoft Foundry
- Azure AI Foundry
- MLOps
- CI/CD
- Containers
- APIs
- Automation
- Model Deployment
- Model Monitoring
- Observability
- Python
- SQL
- Power BI
- Power Automate
- VS Code
- Git
- Jira
- Azure ML Studio
- Databricks
- Machine Learning
- Classification
- Regression
- Clustering
- Feature Engineering
- Model Evaluation
- Hyperparameter Tuning
- Model Drift
- Retraining
- Performance Optimization