At a Glance
- Tasks: Build and deploy cutting-edge computer vision models using Python and modern ML frameworks.
- Company: Join Invision AI, a leader in visual intelligence based in Toronto.
- Benefits: Enjoy a competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Work three days a week from our vibrant downtown office.
- Why this job: Make a real-world impact with innovative tech in a dynamic team environment.
- Qualifications: Experience in production computer vision and strong Python skills required.
The predicted salary is between 82800 - 101200 $ per year.
Build computer vision models for visual intelligence at Invision AI in Toronto, using Python and modern machine learning frameworks. This full-time hybrid position works from the downtown office three days weekly. As a Machine Learning Engineer, you will work across data collection, labeling, training, evaluation, deployment, monitoring, and improvement. The applied engineering focus includes object detection, image classification, geospatial tracking, and sensor fusion. Production models serve real-world products on resource-constrained edge devices.
Key Responsibilities:
- Develop, evaluate, and deploy machine learning models across products
- Build data-labeling, training, and evaluation pipelines
- Optimize models for latency, memory, power, and accuracy
- Monitor production performance and diagnose deployed model issues
- Document code and participate in technical reviews
Requirements:
- Production computer vision model development and deployment experience
- Strong Python skills with PyTorch, TensorFlow, or scikit-learn
- Practical knowledge of CNNs and modern vision architectures
- Experience with edge optimization, monitoring, and evaluation metrics
- Legal entitlement to work in Canada
Apply computer vision, Python, and production machine learning expertise to Invision AI products in Toronto.
Computer Vision Machine Learning Engineer in Toronto employer: Invision AI Inc.
At Invision AI, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the heart of the tech industry. Our work culture is built on teamwork and continuous learning, offering employees ample opportunities for professional growth and development. Located in a vibrant area, we provide a dynamic environment where your contributions directly impact the future of smart infrastructure and transportation technology.
