ppbDeep Learning Computer Vision Research Engineer /b /p pEuropean Tech Recruit are working closely with a computer vision deep learning research center, based in Bressanone, who are looking for an talented bDeep Learning Computer Vision Research Engineer /bto join their team. /p pTheir tech focuses on Industrial Multimodal AI: systems that combine images, video, 3D data, machine and sensor data, natural language, foundation models and generative AI to solve complex production and inspection challenges. /p h3Responsibilities /h3 ul liEvaluate state-of-the-art research in computer vision, deep learning, multimodal AI and generative models. /li liTranslate industrial needs into research questions, datasets, benchmarks and proof-of-concept systems. /li liDesign and validate models for anomaly detection, segmentation, classification, object detection, visual retrieval and measurement. /li liAdapt foundation and vision-language models to specialised industrial domains and limited-data scenarios. /li liDevelop data-efficient workflows using synthetic data, self-supervised learning, active learning and assisted annotation. /li liBuild reproducible pipelines covering data acquisition, training, validation, deployment and model monitoring. /li liDeliver maintainable software, technical documentation and demonstrators, supporting technology transfer to industrial partners.



/li /ul h3Requirements /h3 ul liMSc with at least three years of relevant experience, or a PhD in Computer Science, Artificial Intelligence, Machine Learning, Robotics, Engineering or a related field. /li liProfessional proficiency in written and spoken English. Italian and/or German are advantageous /li liStrong knowledge of modern computer vision and deep learning, including CNNs, Vision Transformers and foundation models. /li liAbility to analyse research papers, reproduce results and translate new methods into working implementations. /li liStrong Python and PyTorch skills, with familiarity with tools such as OpenCV, Open3D, PyTorch Lightning or Hugging Face. /li liExperience in areas such as anomaly detection, segmentation, generative vision, multimodal learning, image retrieval or 3D vision. /li liA data-centric approach to dataset collection, cleaning, annotation, versioning and quality assessment. /li liUnderstanding of experimental design, benchmarking, reproducibility, model robustness and domain shift. /li liExperience with GPU training, Linux, Git and containers; C++, MLOps, edge deployment and scientific publications are advantages. /li /ul pBy applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ( /p /p #J-18808-Ljbffr

📌 Deep Learning & Computer Vision Research Engineer (Bressanone)
🏢 European Tech Recruit
📍 Bressanone