Join Infoya as a Computer Vision Machine Learning Engineer in Toronto, specializing in real-time edge inference. This hybrid role involves developing and optimizing state-of-the-art AI models. In this pivotal role, you will design, train, and deploy computer vision models while enhancing MLOps processes on Google Cloud.

Your expertise will focus on creating solutions that deliver seamless performance across diverse devices, significantly contributing to operational efficiency and digital transformation efforts. Key Responsibilities:

- Train and evaluate state-of-the-art deep learning models
- Enhance existing Vertex AI Kubeflow Pipelines for MLOps
- Manage model conversion from TensorFlow to TFLite
- Architect deployment workflows using Google Cloud Storage
- Implement automated evaluation gates for model performance Requirements:
- 3-6 years of experience in Machine Learning Engineering
- Robust foundational knowledge of deep learning concepts
- Proficiency in TensorFlow 2.x and PyTorch frameworks
- Demonstrated experience optimizing models for edge devices
- Advanced skills in Python and experience with Docker Utilize your technical skills in machine learning to drive impactful solutions at Infoya in Toronto.

📌 Computer Vision Machine Learning Engineer at Infoya (Toronto)
🏢 Infoya
📍 Toronto