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- Strong hands-on experience with deep learning frameworks, specifically PyTorch and PyTorch Geometric (PyG).
- Proven track record of implementing GNNs for tasks such as link prediction, node classification, and graph generation.
- Experience with data prepossessing, feature engineering, and understanding of the unique Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Deep Learning Engineer, Pytorch, Pyg, Remote, GNN, - England, United Kingdom - Norton Blake
Description
Deep Learning Engineer, PyTorch, PyG, Remote, £90,000, GNN, AI
My client, a leading consultancy at the forefront of AI, is searching for a Deep learning Engineer to work on solving complex data challenges, with a particular focus on graph neural networks (GNNs). The ideal Deep Learning Engineer will ideally have an expertise in in PyTorch and PyTorch Geometric (PyG). You will be developing GNN models and working closely with the data science team to design, test and deploy scalable deep learning models. This role will be remote so you can be anywhere in the UK. Skills:-Please apply for more information
Deep Learning Engineer, PyTorch, PyG, Remote, £90,000, GNN, AI #J-18808-Ljbffr