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
AI Inference Engineer
Toronto, ONUrban Ridge Supplies
2+ YOECandidates need a Bachelor's, Master's or Ph.D. in Computer Science, Engineering, Mathematics or a related field, plus 2+ years of professional experience in a fast-paced environment. Production experience with Python is strongly preferred, along with familiarity with ML pipelines and strong technical communication.
Python, Docker, ComfyUI, Whisper