Become an Advanced Machine Learning Engineer at Infoya, specializing in Computer Vision in Toronto. This hybrid role focuses on deploying deep learning models in edge AI environments. As a key player in Infoya, your role will encompass the full lifecycle of computer vision model development.

You will design, optimize, and deploy models while advancing MLOps capabilities in a cutting-edge cloud environment. This position promises an engaging blend of technical and creative problem-solving in a rapidly evolving field. Key Responsibilities:

- Design and fine-tune deep learning models for various applications
- Optimize and maintain MLOps capabilities in Vertex AI Pipelines
- Convert models to TensorFlow Lite for efficient edge application




- Oversee model artifact management in Google Cloud Storage
- Establish automated evaluation systems to ensure model quality Requirements:
- 3-6 years of Machine Learning Engineering experience
- Robust mathematical understanding of CNNs and object detection
- Deep expertise in TensorFlow 2.x and/or PyTorch
- Experience in edge device model optimization using TFLite
- Advanced Python programming and Docker containerization skills Bring your passion for machine learning to Infoya and shape the future of AI solutions.

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