126 to 130 of 130 Permanent Hugging Face Jobs

Python 3.9+, with a solid understanding of object-oriented programming and data structures. Experience with libraries such as PyTorch, OpenCV, PIL/Pillow, and Hugging Face for working with AI/ML models. Familiarity with AWS services, including Lambda, S3, CloudWatch, and Boto3 for automation and deployment. Expertise ...

experience using and extending Visual Studio Code (extensions, integrations, workflows). Familiarity with AI developer tools, LLM APIs, and agent frameworks (e.g., OpenAI, LangChain, Hugging Face). Ability to build and explain end-to-end demos using modern dev tooling and workflows (git, CI/CD, cloud platforms ...

Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search ...

Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search ...

preferably working with transformer or computer vision models. 2+ years of hands-on experience using transformer models, with excellent command of libraries such as HuggingFace Transformers, Accelerate, Datasets, etc. Solid mathematical foundations and theoretical understanding of deep learning algorithms and neural networks, both training and inference. Excellent problem-solving, debugging … documentation skills. Strong understanding of GPU architectures and LLM hardware/software infrastructures. Excellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.). Experience with cloud platforms (ideally AWS), containerization technologies (Docker), and deploying AI solutions in a cloud environment. Excellent written and verbal communication skills ...