Elevate your career as a Machine Learning Engineer specializing in Computer Vision at Infoya, located in Toronto. This hybrid role involves optimizing deep learning models for edge devices while leveraging Google Cloud.
Infoya seeks an experienced Machine Learning Engineer to design and deploy cutting-edge computer vision models. This position will engage you in the end-to-end lifecycle, focusing on model training, evaluation, and optimization via MLOps capabilities. You will also enhance cloud infrastructure and work on real-time edge inference solutions that impact various industries.
Key Responsibilities:
- Design and optimize deep learning models for image classification - Maintain and enhance MLOps capabilities in Vertex AI Pipelines - Convert models to TensorFlow Lite for efficient edge deployment - Manage model versioning using Google Cloud Storage - Implement automated evaluation gates for model reliability
Requirements: - 3-6 years in Machine Learning Engineering - Robust knowledge of Convolutional Neural Networks (CNNs) - Expertise in TensorFlow 2.X and/or PyTorch - Proven skills in edge ML optimization with TFLite - Advanced Python programming and Docker containerization skills
Apply your expertise in machine learning and cloud solutions to drive innovation at Infoya's Toronto office.#J-18808-Ljbffr