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 effective 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 • Strong 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. #J-18808-Ljbffr

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