Machine Learning Engineer

Overview4 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.ResponsibilitiesDeploy and optimize high-performance CV models (e.g., YOLO, OWL) for speed and accuracyBuild scalable training and deployment pipelines using Kubernetes and Ubuntu-based systemsConduct hyperparameter tuning and model optimization to align with technical and business KPIsDevelop reusable tools for model evaluation, monitoring, and performance trackingWork cross-functionally to integrate CV models into production environments and automate the ML lifecycleStay informed on emerging research in computer vision and apply cutting-edge methods (e.g., foundation models, prompt-based detection)QualificationsProven experience deploying computer vision models in real-world environmentsStrong background in deep learning frameworks (e.g., 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 solutionsLocationHybrid (Onsite/Remote)Duration6-month contractSeniority levelMid-Senior levelEmployment typeContractJob functionInformation TechnologyIndustriesHospitality #J-18808-Ljbffr