Corner Resources is searching for a Machine Learning Engineer to support the development and deployment of advanced CV models in a production environment. This role combines deep learning expertise with infrastructure engineering, contributing to scalable ML workflows that power real-world applications.
Key responsibilities :
- Deploy and optimize high-performance CV models (, YOLO, OWL) for speed and accuracy
- Build scalable training and deployment pipelines using Kubernetes and Ubuntu-based systems
- Conduct hyperparameter tuning and model optimization to align with technical and business KPIs
- Develop reusable tools for model evaluation, monitoring, and performance tracking
- Work cross-functionally to integrate CV models into production environments and automate the ML lifecycle
- Stay informed on emerging research in computer vision and apply cutting-edge methods (, foundation models, prompt-based detection)
Qualifications :
Proven experience deploying computer vision models in real-world environmentsStrong background in deep learning frameworks (, PyTorch, TensorFlow)Hands-on experience with containerization, orchestration (Kubernetes), and Linux-based systemsSolid understanding of MLOps best practices and production ML pipelinesFamiliarity with modern CV techniques and the ability to translate research into practical solutionsLocation : Hybrid (Onsite / Remote)
Duration : -month contract