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

Solid 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.

📌 Senior MLOps Machine Learning Engineer (Winnipeg)
🏢 Procom-b5a780c3
📍 Winnipeg