Lead, AI/Machine Learning Engineer
Toronto, ONUrban Ridge Supplies
3+ YOECandidates need 3+ years of software engineering experience, including 2+ years building production AI/ML or generative AI solutions. They need hands-on experience with LLMs, RAG, classical ML and deep learning, MLOps, and Azure cloud, plus strong SQL and clear communication with non-technical stakeholders.
Azure AI Foundry, Azure OpenAI, Copilot Studio, MLflow, Kubeflow, Databricks
Sr. Specialist, AI Solutions Developer
Waterdown, ONUrban Ridge Supplies
6+ YOECandidates need several years of experience building AI solutions on Azure AI, Azure OpenAI and Microsoft Copilot Studio, plus strong programming skills. A bachelor's degree in a technical field with 6 years of experience is preferred, or a graduate degree with 4 years, or 10 years of directly related experience.
Azure OpenAI, Microsoft Copilot Studio, Microsoft Fabric, Docker, Kubernetes
Forward Deployed Engineer, Industry Solutions
Toronto, ONUrban Ridge Supplies
5+ YOECandidates need 5+ years of hands-on backend engineering experience and strong MongoDB application skills. They also need working knowledge of at least one relational database and fluency in at least two programming languages.
MongoDB, MongoDB Atlas, Kafka, Kubernetes