AI & Computer Vision Engineer

OXI S.r.L.; Modena; On-site; EUR 65,000 - 95,000; Full time

Job summary

OXI S.r.L. seeks an AI & Computer Vision Engineer to drive end-to-end AI projects from data acquisition to deployment on edge devices in Modena. You will own lifecycle management of AI solutions, coordinate data annotation, and validate models with real-world sensor data.

Responsibilities include developing ML/DL/vision models, optimizing for edge platforms, and collaborating with multidisciplinary teams to ensure production-grade performance and meaningful field outcomes.

Qualifications

• Experience in AI/ML/DL and computer vision for real-world applications.
• Ability to develop, train, and evaluate AI models with field feedback.
• Proficiency in image processing, feature extraction, and data quality assessment.
• Knowledge of camera systems, data acquisition pipelines, and sensor data integration.

Responsibilities

• Design and develop AI, ML, DL, and computer vision solutions for real-world applications.
• Develop, train, evaluate, and improve AI models based on field validation results.
• Perform image processing, feature extraction, and data quality assessment.
• Select, configure, and validate camera systems aligned with project requirements.
• Develop data acquisition frameworks and pipelines for image and sensor data.
• Integrate data from GPS, CAN bus, machine signals, and onboard sensors.
• Support field testing, including installation and validation of camera and sensor systems.
• Collect and analyze real-world operational data to verify performance.
• Troubleshoot hardware and software issues during field deployments and understand operating conditions.
• Prepare, organise, and validate datasets for AI model training and evaluation.
• Coordinate with data annotation teams to define labeling standards and review quality.
• Ensure dataset integrity and readiness for model development.
• Optimise trained AI models for edge deployment and production readiness.
• Balance accuracy, latency, memory footprint, and hardware constraints.
• Support deployment, monitoring, and maintenance of AI applications in operations.
• Contribute to the complete MLOps lifecycle: data prep, model training, deployment, retraining, and maintenance.
• Support research activities and rapid prototyping; evaluate emerging AI/vision technologies.
• Mentor KU Leuven Master’s thesis students.

Skills

Artificial Intelligence

Machine Learning

Deep Learning

Computer Vision

Edge AI

MLOps

Data Analysis

Sensor Data Integration

Tools

OpenCV

GPS Integration

Camera Systems

Edge Computing Platforms

Job description

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 on edge computing platforms.
• Balance accuracy, latency, inference speed, memory footprint, and hardware constraints to achieve production-ready performance.
• Support deployment, monitoring, and maintenance of AI applications in operational environments.
• Contribute to the complete MLOps lifecycle, including:
• Data acquisition and preparation
• Model training and validation
• Deployment and monitoring
• Retraining and continuous improvement
• Production support and maintenance
• Support research activities, technical feasibility studies, and rapid prototyping initiatives.
• Evaluate emerging AI and Computer Vision technologies for future applications.
• Mentor and provide technical guidance to KU Leuven Master’s thesis students.
• Strong knowledge of Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision.
• Experience working with image processing, computer vision algorithms, and sensor-based data systems.
• Familiarity with camera technologies, data collection frameworks, and field validation activities.
• Understanding of edge AI deployment and model optimisation techniques.
• Experience with MLOps practices and AI model lifecycle management.
• Strong analytical, problem-solving, and troubleshooting capabilities.
• Ability to work in multidisciplinary teams and customer-facing environments.
• Project Focus: AI, Computer Vision, Sensor Integration, Edge AI, and Innovation-Led Product Development.