Ai & computer vision engineer
Pubblicato il 02-10-2026 - OXI in Italia
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 AI models for deployment o