09 set - Trentino-Alto Adige
European Tech Recruit
pbDeep Learning Computer Vision Research Engineer /b /ppbr/ppEuropean 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. /ppbr/ppTheir 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. /ppbr/ppResponsibilities as bDeep Learning Computer Vision Research Engineer /b: /pulliEvaluate state-of-the-art research in computer vision, deep learning, multimodal AI and generative models. /liliTranslate industrial needs into research questions, datasets, benchmarks and proof-of-concept systems. /liliDesign and validate models for anomaly detection, segmentation, classification, object detection, visual retrieval and measurement. /liliAdapt foundation and vision-language models to specialised industrial domains and limited-data scenarios. /liliDevelop data-efficient workflows using synthetic data, self-supervised learning, active learning and assisted annotation. /liliBuild reproducible pipelines covering data acquisition, training, validation, deployment and model monitoring. /liliDeliver maintainable software, technical documentation and demonstrators, supporting technology transfer to industrial partners. /li /ulpbr/ppRequirements:
/pulliMSc with at least three years of relevant experience, or a PhD in Computer Science, Artificial Intelligence, Machine Learning, Robotics, Engineering or a related field. /liliProfessional proficiency in written and spoken English. Italian and/or German are advantageous /liliStrong knowledge of modern computer vision and deep learning, including CNNs, Vision Transformers and foundation models. /liliAbility to analyse research papers, reproduce results and translate new methods into working implementations. /liliStrong Python and PyTorch skills, with familiarity with tools such as OpenCV, Open3D, PyTorch Lightning or Hugging Face. /liliExperience in areas such as anomaly detection, segmentation, generative vision, multimodal learning, image retrieval or 3D vision. /liliA data-centric approach to dataset collection, cleaning, annotation, versioning and quality assessment. /liliUnderstanding of experimental design, benchmarking, reproducibility, model robustness and domain shift. /liliExperience with GPU training, Linux, Git and containers; C++, MLOps, edge deployment and scientific publications are advantages. /li /ulpbr/ppIf this role is of any interest please apply directly on LinkedIn or send a copy of your CV to . /ppbr/ppBy 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
10 set - Milano
During S.p.A. Filiale di Milano Cadorna
10 set - Turbigo
Altro
10 set - Ficarazzelli-bagni Italia
Laboratorio Giepi
10 set - Cremona
agap2 Italia