Computer Vision Engineer

7 ore fa

Siena, Toscana, Italia Hermes Corporate Tempo pieno

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We are looking for a skilled Computer Vision&Robotics 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.

Key Responsibilities
* Design, develop, and deploy computer vision models for real-world applications
* Build and optimize deep learning models for tasks such as object detection, segmentation, classification, tracking, and pose estimation
* Develop scalable image and video processing pipelines for both training and inference
* Deploy and optimize models for real-time and edge environments, ensuring low latency and high efficiency
* Integrate vision models into production systems, including automated and semi-autonomous platforms
* Collaborate with cross-functional teams (software, hardware, product) to deliver end-to-end solutions
* Evaluate model performance using real-world data and continuously improve accuracy, robustness, and efficiency
* Stay up to date with the latest advancements in computer vision, deep learning, and applied AI Required Qualifications
* Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field
* 2+ years of hands-on experience in computer vision and deep learning
* Strong programming skills in Python
* Experience with deep learning frameworks such as PyTorch or TensorFlow
* Solid understanding of core computer vision concepts (image processing, CNNs, feature extraction, object detection)
* Experience training and deploying machine learning models in production environments
* Familiarity with model optimization techniques (e.g., quantization, pruning, ONNX)
* Experience working with image/video datasets and data pipelines
* Strong analytical and problem-solving skills Preferred Qualifications
* Master’s degree in Computer Vision, Machine Learning, or a related field
* Experience with real-world or industrial AI applications
* Exposure to robotics or autonomous systems
* Familiarity with edge deployment or performance-constrained environments
* Experience with cloud-based ML infrastructure and MLOps workflows Nice to Have
* Experience with infrastructure robustness testing to ensure system stability and reliability
* Hands‑on experience updating and validating software on physical robotic systems
* Exposure to real‑world field testing and evaluating system performance in live environments
* Familiarity with end‑to‑end system validation, including testing under varying operating conditions #J-18808-Ljbffr

Computer Vision Engineer

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