PAt Hermes Corporate, we have been supporting companies in digital transformation for over 15 years through IT consulting, outsourcing services, and digital talent development. /ppbr/ppWe are looking for a skilled Computer Vision Engineer to design, develop, and deploy advanced vision-based solutions for real-world applications. 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. /ppbr/ppKey Responsibilities /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 and intelligent 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/ppRequired Qualifications /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/ppPreferred Qualifications /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 (preferred but not mandatory) /liliFamiliarity with edge deployment or performance-constrained environments /liliExperience with cloud-based ML infrastructure and MLOps workflows /li /ulpbr/ppNice to Have /pulliExperience with infrastructure robustness testing to ensure system stability and reliability /liliHands-on experience with real-world system integration and validation /liliExposure to field testing and performance evaluation in live environments /liliFamiliarity with end-to-end system validation under varying operating conditions /liliExperience with robotics systems is a plus /li /ul