Machine Learning Engineer – Toronto

A machine learning engineer in computer vision develops, optimises and deploys deep learning models for real-time edge inference. The role involves working on the complete lifecycle of models, from training and evaluation to deployment and automation enhancement, with a focus on scaling solutions across devices. Essential skills include deep learning, cloud infrastructure management, and experience with frameworks such as TensorFlow or PyTorch. Candidates should be familiar with TFLite for edge model conversion and Google Cloud Platform services like Vertex AI and Google Cloud Storage. The role demands strong programming capabilities in Python, problem-solving skills, and effective communication. It offers an opportunity to innovate within a hybrid work environment, focusing on high-performance AI solutions.