Computer Vision Engineer
4 settimane fa
Computer Vision Engineer - 3D Modeling / NeRF | Rome, ItalyAdeptis Group is partnering with an exciting, well-funded start-up in Rome, Italy, to recruit an experienced Computer Vision professional with 3D modelling capabilities.
This well funded start-up is developing cutting-edge AI technology solutions that combat the impacts of climate change across industries.
They are offering a unique opportunity to make a real-world impact through technology.Location: Hybrid (2-3 days per week on site in Rome)Considering Relocators: Candidates with the right to work in Europe are welcome to applyWhy This Role?Innovate: Work on trailblazing AI technologies that drive climate resilience.Create Impact: Be part of a mission-driven company addressing one of the biggest global challenges.Grow Rapidly: Join a well-funded start-up with ambitious growth plans, providing real opportunities for career progression.Collaborate: Work with a multidisciplinary team of leading experts in AI, Machine Learning, Computer Vision, Physics, and Mathematics.What You'll Do:Develop detailed 3D models and environments using various Photogrammetry techniques including NeRF.Process 2D images and data required for 3D reconstruction and modelling.Optimise 3D models for performance and quality across various platforms and applications.Stay up-to-date with the latest advancements 3D modelling technologies, bringing fresh ideas and innovation to projects.Develop & Innovate: Build advanced AI and machine learning models to support climate resilience projects.Collaborate & Influence: Work closely with scientists and engineers to integrate AI solutions into climate models.Research & Lead: Drive R&D efforts, contributing to the development of next-generation AI methodologies.Optimise & Maintain: Enhance AI/ML pipelines for efficient, large-scale data analysis.What We're Looking For:Educational Background: Degree in Computer Science/Engineering with at least 3 years of experience, or a PhD in a relevant field.AI & ML Expertise: Strong research or thesis experience in Computer Vision, Machine Learning, and Deep Learning.Technical Skills: Proficiency in Python (e.g., SciPy, scikit-learn) and C++, with experience using Ubuntu.Frameworks & Tools: Hands-on experience with tools such as PyTorch, Jax, PyTorch-lightning, Keras, TensorFlow.Deep Learning Knowledge: Solid understanding of CNN, ViT, and advanced AI architectures.3D Modelling: Familiarity with dust3r, mast3r, NeRFs.Mathematics & Probability: Strong foundation in mathematical modelling and probability theory.To learn more, please apply via the link or contact Hubert Colvin on +44 (0) 2033 013 792 / ****** Group - Connecting Talent, Securing the Future
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