Computer Vision Engineer
Pubblicato il 09-09-2026 - Hermes Corporate in Italia
pWe are looking for a skilled Computer VisionRobotics Engineer to design, develop, and deploy advanced vision-based solutions for real-world applications. You will work at the intersection of AI and robotics, building robust systems that operate reliably in production and real-time environments. /ppbr / /ppstrongKey Responsibilities /strong /pulliDesign, develop, and deploy computer vision models for real-world applications /liliBuild and optimize deep learning models for tasks such as object detection, segmentation, classification, tracking, and pose estimation /liliDevelop scalable image and video processing pipelines for both training and inference /liliDeploy and optimize models for real-time and edge environments, ensuring low latency and high efficiency /liliIntegrate vision models into production systems, including automated and semi-autonomous platforms /liliCollaborate with cross-functional teams (software, hardware, product) to deliver end-to-end solutions /liliEvaluate model performance using real-world data and continuously improve accuracy, robustness, and efficiency /liliStay up to date with the latest advancements in computer vision, deep learning, and applied AI /li /ulpbr / /ppstrongRequired Qualifications /strong /pulliBachelor’s degree in Computer Science, Artificial Intelligence,
or a related field /lili2+ years of hands-on experience in computer vision and deep learning /liliStrong programming skills in Python /liliExperience with deep learning frameworks such as PyTorch or TensorFlow /liliSolid understanding of core computer vision concepts (image processing, CNNs, feature extraction, object detection) /liliExperience training and deploying machine learning models in production environments /liliFamiliarity with model optimization techniques (e.g., quantization, pruning, ONNX) /liliExperience working with image/video datasets and data pipelines /liliStrong analytical and problem-solving skills /li /ulpbr / /ppstrongPreferred Qualifications /strong /pulliMaster’s degree in Computer Vision, Machine Learning, or a related field /liliExperience with real-world or industrial AI applications /liliExposure to robotics or autonomous systems /liliFamiliarity with edge deployment or performance-constrained environments /liliExperience with cloud-based ML infrastructure and MLOps workflows /li /ulpbr / /ppstrongNice to Have /strong /pulliExperience with infrastructure robustness testing to ensure system stability and reliability /liliHands-on experience updating and validating software on physical robotic systems /liliExposure to real-world field testing and evaluating system performance in live environments /liliFamiliarity with end-to-end system validation, including testing under varying operating conditions /li /ulpbr / /p