Senior MLOps Machine Learning Engineer

Apply advanced Azure Machine Learning and Python skills as a Senior Machine Learning Engineer in a hybrid Toronto assignment. Build reliable AI deployments.
Procom is seeking a Senior Machine Learning Engineer for a six-month Public Sector client contract. The hybrid arrangement requires three onsite days weekly at the client’s Toronto office. You will support MLOps practices, AI solution deployment, and new development initiatives that enhance machine learning capabilities.

Key Responsibilities:

Implement and optimize MLOps practices for model deployment
Develop and maintain machine learning CI/CD pipelines
Integrate AI solutions with cross-functional teams
Monitor and troubleshoot production models for reliability
Automate retraining and performance optimization workflows
Requirements:
Advanced hands-on Azure Machine Learning experience
Microsoft Foundry or Azure AI Foundry experience
Strong Python and machine-learning engineering skills
Proficiency in MLOps, CI/CD, containers, APIs, and automation
Understanding of machine-learning algorithms and statistics
Bring Azure, Python, deployment, monitoring, and automation expertise to this six-month Senior Machine Learning Engineer contract in Toronto.