Azure Machine Learning and MLOps expertise define this hybrid Toronto engineering role. Build reliable production models with Python and Azure AI Foundry. Cloud Resourcing seeks a Machine Learning Engineer with 10 to 15 years of experience. The role requires hands-on Azure Machine Learning, Microsoft Foundry, MLOps, CI/CD, containers, APIs, automation, deployment, monitoring, and observability. You will move models from experimentation into production environments.
Key Responsibilities
- Develop and deploy machine-learning models through Azure platforms
- Move experimental models into reliable production environments
- Implement MLOps, CI/CD, containers, APIs, and automation
- Monitor deployed models and support observability practices
- Apply machine-learning engineering skills using Python and SQL
Requirements:
- 10 to 15 years of stated skilled experience
- Advanced hands-on Azure Machine Learning experience
- Microsoft Foundry or Azure AI Foundry experience
- Strong Python and machine-learning engineering skills
- Experience with Databricks, Git, Jira, and Power BI Apply advanced Azure, Python, MLOps, and model deployment expertise to production machine-learning engineering in hybrid Toronto.