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AI & Computer Vision Engineer

Pubblicato il 15-10-2026 - OXI in Modena

Job Description – AI & Computer Vision Engineer Location: Modena Key Responsibilities Position Summary We are seeking an AI & Computer Vision Engineer to drive innovation and proof-of-concept initiatives within advanced machine intelligence applications. The role involves end-to-end ownership of AI solutions, including requirements analysis, data acquisition, model development, deployment, optimisation, and lifecycle management using real-world image and sensor data. AI & Computer Vision Development Data Acquisition & Sensor Integration Field Testing & Validation Dataset Development & Annotation Management Model Deployment & Edge AI Optimisation MLOps & Lifecycle Management Research & Innovation Required Skills & Experience Assignment Details * Design and develop AI, Machine Learning (ML), Deep Learning (DL), and Computer Vision solutions for real-world applications. * Develop, train, evaluate, and continuously improve AI models based on field validation results and operational feedback. * Perform image processing, feature extraction,



and exploratory data analysis to assess data quality and identify edge cases. * Select, configure, and validate camera systems aligned with project requirements. * Develop data acquisition frameworks and pipelines for capturing image and sensor data. * Integrate data from multiple sources, including GPS, CAN bus, machine signals, and other onboard sensors. * Support field testing activities, including installation and validation of camera and sensor systems. * Collect and analyse real-world operational data to verify solution performance. * Troubleshoot hardware and software issues encountered during field deployments and understand practical operating conditions. * Prepare, organise, and validate datasets for AI model training and evaluation. * Coordinate with data annotation teams to define labelling standards and review annotation quality. * Ensure dataset integrity, coverage, and readiness for model development. * Optimise trained

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