Become a pivotal part of Infoya’s team as a Computer Vision Machine Learning Engineer, specializing in deep learning model optimization. This hybrid role based in Toronto focuses on real-time edge solutions using Google Cloud.
In this position, you’ll take charge of the entire lifecycle of computer vision models, from training to deployment. Responsibilities emphasize enhancing MLOps capabilities and ensuring reliability through automated evaluation gates. Your expertise in programming and experience with TensorFlow and edge device optimization are key to this role.
Key Responsibilities:
• Develop and fine-tune deep learning models for visual tasks
• Optimize Vertex AI Pipelines for improved performance
• Convert models to TensorFlow Lite for edge inference
• Coordinate model versioning and cloud artifact management
• Establish automated checks for model readiness before deployment
Requirements:
• 3-6 years of experience in machine learning, focusing on computer vision
• Solid foundation in CNNs and object detection methodologies
• Profound knowledge of TensorFlow 2.x and PyTorch
• Familiarity with GCP and containerization using Docker
• Strong problem-solving abilities and effective communication skills
Shape the future of AI solutions at Infoya with your machine learning expertise.
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Computer Vision Machine Learning Engineer

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