Job Description – AI & Computer Vision Engineer

Dato l'elevato interesse per questa posizione, la preghiamo di candidarsi tempestivamente se il suo profilo è in linea con il ruolo.

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. xysqume

- Project Focus: AI, Computer Vision, Sensor Integration, Edge AI, and Innovation-Led Product Development.

#J-18808-Ljbffr

📌 AI & Computer Vision Engineer (Modena)
🏢 OXI
📍 Modena