AI & Computer Vision Engineer

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. #J-18808-Ljbffr