Deep Learning jobs

Deep Learning specialists design and train neural network architectures — from convolutional networks for vision to transformers for language and multimodal systems. These roles typically require a strong research background and hands-on experience with modern GPU-accelerated frameworks.

Common Roles

• Deep Learning Engineer
• Deep Learning Research Scientist
• NLP Engineer
• Computer Vision Engineer
• Research Engineer (Generative AI)
• Foundation Model Researcher

Key Skills

• PyTorch and/or TensorFlow / JAX
• Transformer architectures (attention mechanisms, BERT, GPT, ViT)
• Training and fine-tuning large neural networks on GPU clusters
• Regularisation, optimisation techniques, and learning rate scheduling
• Mixed-precision training and distributed strategies (FSDP, DeepSpeed)
• Evaluation benchmarks and experiment tracking (W&B, MLflow)