At Hermes Corporate, we have been supporting companies in digital transformation for over 15 years through IT consulting, outsourcing services, and digital talent development.We are looking for a skilled Computer Vision Engineer to design, develop, and deploy advanced vision-based solutions for real-world applications. Legga attentamente tutte le informazioni su questa opportunità, quindi utilizzi il pulsante di candidatura sottostante per inviare il suo CV. You will work on building robust, production-ready AI systems, with the opportunity to engage in robotics-related applications depending on project needs, at the intersection of AI and intelligent systems.Key ResponsibilitiesDesign, develop, and deploy computer vision models for real-world applicationsBuild and optimize deep learning models for tasks such as object detection, segmentation, classification, tracking, and pose estimationDevelop scalable image and video processing pipelines for both training and inferenceDeploy and optimize models for real-time and edge environments, ensuring low latency and high efficiencyIntegrate vision models into production systems and intelligent platformsCollaborate with cross-functional teams (software, hardware, product) to deliver end-to-end solutionsEvaluate model performance using real-world data and continuously improve accuracy, robustness, and efficiencyStay up to date with the latest advancements in computer vision, deep learning, and applied AIRequired QualificationsBachelor's degree in Computer Science, Artificial Intelligence, or a related field2+ years of hands-on experience in computer vision and deep learningStrong programming skills in PythonExperience with deep learning frameworks such as PyTorch or TensorFlowSolid understanding of core computer vision concepts (image processing, CNNs, feature extraction, object detection)Experience training and deploying machine learning models in production environmentsFamiliarity with model optimization techniques (e.g., quantization, pruning, ONNX)Experience working with image/video datasets and data pipelinesStrong analytical and problem-solving skillsPreferred QualificationsMaster's degree in Computer Vision, Machine xivgfpx Learning, or a related fieldExperience with real-world or industrial AI applicationsExposure to robotics or autonomous systems (preferred but not mandatory)Familiarity with edge deployment or performance-constrained environmentsExperience with cloud-based ML infrastructure and MLOps workflowsNice to HaveExperience with infrastructure robustness testing to ensure system stability and reliabilityHands-on experience with real-world system integration and validationExposure to field testing and performance evaluation in live environmentsFamiliarity with end-to-end system validation under varying operating conditionsExperience with robotics systems is a plus #J-18808-Ljbffr