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
• Solid 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.
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