4 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 (e.g., 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 (e.g., foundation models, prompt-based detection) Qualifications: • Proven experience deploying computer vision models in real-world environments • Strong background in deep learning frameworks (e.g., PyTorch, TensorFlow) • Hands-on experience with containerization, orchestration (Kubernetes), and Linux-based systems • Solid understanding of MLOps best practices and production ML pipelines • Familiarity with modern CV techniques and the ability to translate research into practical solutions Location: Hybrid (Onsite/Remote) Duration: 6-month contract 4CR3