Senior Computer Vision Engineer

13 ott - Roma
trtwo

TR2 SRLS Italian innovative SMEPer candidarsi, è sufficiente leggere la seguente descrizione del lavoro e assicurarsi di allegare i documenti pertinenti.Sectors: Indistrial Automation, BlueEconomy, In Space OperationActivities: computer vision, industrial automation, AI-powered quality control systemsTechonologies: Casual/Generative AI, optical, multispectral/hyperspectral quantum sensing, machine learning, real-time analytics and customised hardware integration.Career path toward CTO, Head of AI, Principal EngineerIndustry sectorsAerospace & Defence, Information Technology, Space & SatelliteTechnologies you'll work withpowered by Job NautilusSalary Range35000 EUR gross/yearJob DescriptionDesign and deploy advanced computer vision and AI pipelines for industrial and sensing applications. You will lead algorithm development from prototyping to real-world deployment.This is a core technical role in the company. You will work on state-of-the-art vision systems applied to remote sensing, industrial inspection and environmental monitoring, taking solutions from research concept to deployed product.ResponsibilitiesDesign, develop and optimise computer vision algorithms and deep learning pipelines for sensing applicationsLead the technical architecture of vision-based products from prototyping to production deploymentImplement and evaluate state-of-the-art models for object detection, segmentation, classification and trackingDevelop data processing pipelines for satellite,



drone and ground-based imageryCollaborate with the research team on EU-funded R&D projects involving AI and sensingPerform model training, validation and optimisation on real-world datasetsEnsure code quality, documentation and reproducibility of resultsMentor junior engineers and contribute to technical strategyMust-have RequirementsMSc or PhD in Computer Science, Computer Vision, Machine Learning or related fieldMinimum 4 years of professional experience in computer vision or deep learningStrong proficiency in Python, PyTorch or TensorFlowSolid experience with CNN architectures, transformers and modern detection/segmentation frameworksExperience deploying ML models in production environmentsFamiliarity with MLOps practices (Docker, CI/CD, model versioning)Nice-to-have Requirements xysqume Experience with remote sensing or satellite imagery analysis (SAR, multispectral, hyperspectral)Knowledge of 3D vision, point cloud processing or SLAMExperience with edge deployment (NVIDIA Jetson, ONNX, TensorRT)Publications in top-tier venues (CVPR, ECCV, ICCV, NeurIPS)Experience with EU-funded research projectsPersonal RequirementsDeep technical expertise combined with practical engineering mindsetPassionate about pushing the boundaries of applied AISelf-driven and able to work independently on complex problemsStrong communicator who can explain technical concepts to non-technical stakeholdersCommitted to code quality and best practices#J-18808-Ljbffr

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