13 Hugging Face Jobs with Hybrid or WFH Options

understanding of AI/ML libraries and frameworks, e.g.TensorFlow or PyTorch. Strong enthusiasm for Machine Learning, Cognitive Services, and innovative AI technologies (ChatGPT, LangChain, Hugging Face, etc), including a comprehensive understanding of large language models. You also have an affinity for open-source frameworks that help advance the more »

understanding of AI/ML libraries and frameworks, e.g.TensorFlow or PyTorch. Strong enthusiasm for Machine Learning, Cognitive Services, and innovative AI technologies (ChatGPT, LangChain, Hugging Face, etc), including a comprehensive understanding of large language models. You also have an affinity for open-source frameworks that help advance the more »

team using a diverse tech stack including: Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, Flask. Frontend: React, Next.js. Data Science: Python, Jupyter, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Weights and biases. Infra: Pulumi, Docker, AWS AppRunner, Step Functions, Grafana cloud monitoring, Prefect. Who you are Must haves: Experience using Python with more »

development tasks. We’d love to see these skills from you: Proficiency in Python Strong NLP experience – NumPy, Pandas Commercial hands-on experience with Hugging Face and finetuning LLMs Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch) Nice to have: Familiarity with Git or other more »

Mentoring less experienced engineers Senior ML Learning Engineer the environment: > Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy > Machine Learning NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) > Strong IaC experience, using Terraform or CloudFormation more »

developing and testing in Python. ML Learning Engineer the environment: Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design more »

Python, Github, Jupyer Notebooks, etc.) Proficiency with deep learning packages (such as PyTorch, Jax, or TensorFlow) Experience with ML/LLM Software packages (e.g. HuggingFace, wandb, numpy, matplotlib, NLTK, etc.) Good problem-solving and communication skills Ability to work in a dynamic and fast-paced environment Ability to demonstrate passion more »

journey of digital transformation. What We're Looking For: Proficiency in Python Strong NLP experience with tools like NumPy and Pandas Demonstrable experience with Hugging Face and finetuning LLMs Expertise in learning algorithms, neural networks, and ML frameworks such as TensorFlow and PyTorch Advocate of promoting MLOps best more »

NLP), such as NumPy and pandas. A deep understanding of Natural Language Processing (NLP) principles and methodologies. Hands-on experience in utilizing open-source Hugging Face models and fine-tuning Language Models (LLMs) to achieve project objectives. What's in it for you Salary of up to more »

a successful, the ideal Python Machine Learning Engineer candidate will have: Strong background in Python of Machine Learning or AI Strong knowledge of PyTorch, Hugging Face, TensorFlow Experience of MLOps would be a benefit Experience of working in a small but growing team. What is in it for more »

To be a successful, the ideal Python Engineer candidate will have: · Strong background in Python of Machine Learning or AI · Strong knowledge of PyTorch, Hugging Face, TensorFlow · Experience of MLOps would be a benefit · Experience of working in a small but growing team. What is in it for more »

an exciting journey to build their AI practice and a team around you. Required Skills: Building cloud and native machine learning architecture with: LLamaIndex, HuggingFace, SentenceTransformers, PyTorch, Python, Apache Spark. Experience with practical application of AI and scaling AI with these tools Experience in Health Care is essential We would more »

up and the next goal is to build/define the first MVP (features, UX, etc.) of the AI (Artificial intelligence) hub (similar to Huggingface). As a Technical Product Manager you will be comfortable leading the development of this product and working with a small team of more »