1 to 25 of 117 Hugging Face Jobs

SQL, Apache Spark, Hadoop). Knowledge of cloud computing services (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Hugging Face Ecosystem: Demonstrated experience using Hugging Face tools such as the Transformers library, Datasets, and Tokenizers. Familiarity with integrating pre-trained More ❯

Technical Expertise: Minimum of 8 years of work experience with hast 4 years in Python; familiarity with frameworks like PyTorch, TensorFlow, and libraries like Hugging Face Transformers. Hands-on experience with LLMs (e.g., OpenAI GPT models, Anthropic Claude) and fine-tuning techniques. Strong understanding of RAG architectures and More ❯

and experiment data to refine models and improve user experience. Required Skill: • Proficiency in programming languages such as Python and familiarity with libraries like Hugging Face Transformers, TensorFlow, or PyTorch. • Deep understanding of language modeling concepts, architectures (e.g., GPT, BERT), and their applications. • Strong analytical and problem-solving More ❯

and data governance, and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from AWS, Azure, Google, HuggingFace, OpenAI and Databricks) building ML or applied AI solutions. • A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's More ❯

and data governance, and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from AWS, Azure, Google, HuggingFace, OpenAI and Databricks) building ML or applied AI solutions. • A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's More ❯

in deploying and managing Generative AI models (e.g., GPT, Stable Diffusion, BERT). Proficient in Python and ML libraries such as TensorFlow, PyTorch, or Hugging Face. Skilled in cloud platforms (AWS, GCP, Azure) and managed AI/ML services. Hands-on experience with Docker, Kubernetes, and container orchestration. Expertise More ❯

hands-on experience in either academia or industry. Proficiency in Python and experience with ML/NLP libraries like TensorFlow, PyTorch, scikit-learn, or Hugging Face. Experience working with cloud platforms such as AWS, GCP, or Azure. Familiarity with advanced NLP methods, including Prompt Engineering, Parameter-Efficient Fine-Tuning More ❯

knowledge in English (C1 level minimum). French and Spanish language skills are a bonus. Tools and Applications ML frameworks and tools: PyTorch, TensorFlow, Hugging Face. ML operations tools: Weights & Biases (wandb), MLflow. Data visualization tools: Matplotlib, Power BI. Version control systems and collaborative development platforms. Why Join Us More ❯

models. Experience working with LLM models from OpenAI, Mistral, Anthropic etc. Expertise in AI/ML frameworks such as TensorFlow, PyTorch, Keras, LangChain, and Hugging Face Transformers a big plus. Skilled in Python and Java, with a focus on writing efficient and scalable code for AI applications. Experienced More ❯

MongoDB Experience on general programming languages: Python, C++, Java, etc. Experience with deep learning, machine learning and NLP frameworks such as PyTorch (or TensorFlow), HuggingFace Transformer, Scikit-learn Experience with working in Linux A strong intuition for what makes products a joy to use Empathy for how different users will More ❯

for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics. Some level of exposure to OpenAI, Bedrock, Huggingface, etc. Practical experience in coding languages e.g. Python, C++, etc.; (Python preferred). Proficiency in database technologies e.g. SQL, No-SQL and Big Data technologies More ❯

in Python and SQL (bonus: PySpark , NoSQL ). Experience with RAG , prompt engineering , fine-tuning , and embeddings . Familiarity with GenAI platforms like OpenAI , Hugging Face , and Google Vertex AI . Knowledge of cloud platforms (Azure, AWS, GCP) and tools like Kubernetes , Docker , CI/CD . Experience More ❯

with LLMs such as OpenAI GPT, Anthropic Claude, Mistral, Cohere, or similar. Proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, or LangChain. Experience in fine-tuning, model evaluation, and prompt engineering. Strong understanding of NLP techniques including text classification, summarization, sentiment More ❯

such as RAG, Vector DBs, Embeddings, Fine-Tuning, and Prompt Tuning. Proficiency in Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP libraries (e.g., Hugging Face, spaCy). Familiarity with DevSecOps tools like GitLab and cloud platforms such as AWS or Azure. Experience with test automation tools is More ❯

Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Work with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases. Work on RAG models and Agents Frameworks to enhance GenAI solutions by incorporating relevant information More ❯

Processing (NLP) and Machine Learning (ML) . Practical experience with AI frameworks like TensorFlow, PyTorch, or similar. Experience with open-source platforms such as Hugging Face. Prior experience with Generative AI models (e.g., GPT-3, GPT-4 or similar). Preferred Qualifications Experience with cloud platforms such as AWS More ❯

Demonstrated expertise in deploying ASR, LLM, or TTS models in production environments. Proficiency in Python and familiarity with frameworks such as PyTorch, TensorFlow, or Hugging Face. Experience deploying and scaling services using cloud platforms (e.g., AWS, GCP, Azure), Kubernetes, and Docker. Strong understanding of microservices architecture, REST APIs, and More ❯

models e.g. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud More ❯

models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud More ❯

native Machine Learning platform Extensive experience with programming languages such as Python, Java, Scala etc. Solid experience with ML frameworks such as Pytorch and Huggingface The ability to work in a team, collaborate with others to solve interesting problems that directly affect our customers Demonstrated critical thinking and problem-solving More ❯

or ML Engineering roles Proven expertise deploying and scaling Generative AI models (GPT, Stable Diffusion, BERT) Proficiency with Python and ML frameworks (TensorFlow, PyTorch, Hugging Face) Strong cloud platform experience (AWS, GCP, Azure) and managed AI/ML services Practical experience with Docker, Kubernetes, and container orchestration Databricks More ❯

or ML Engineering roles Proven expertise deploying and scaling Generative AI models (GPT, Stable Diffusion, BERT) Proficiency with Python and ML frameworks (TensorFlow, PyTorch, Hugging Face) Strong cloud platform experience (AWS, GCP, Azure) and managed AI/ML services Practical experience with Docker, Kubernetes, and container orchestration Databricks More ❯

or ML Engineering roles Proven expertise deploying and scaling Generative AI models (GPT, Stable Diffusion, BERT) Proficiency with Python and ML frameworks (TensorFlow, PyTorch, Hugging Face) Strong cloud platform experience (AWS, GCP, Azure) and managed AI/ML services Practical experience with Docker, Kubernetes, and container orchestration Databricks More ❯

unsupervised learning. Applied knowledge of deep learning frameworks such as TensorFlow or PyTorch. Familiarity with transformer-based architectures (e.g., BERT, GPT) and usage of Hugging Face Transformers. Ability to design and implement basic model training pipelines, including data ingestion, preprocessing, and evaluation. Software Development Lifecycle (SDLC) Participation in More ❯

Strong knowledge of Mathematical Statistics, Algorithms & Data Structures, ML Theory Strong knowledge of Python & SQL Experience training & fine-tuning Transformers or Large Language Models (Huggingface Transformers, OpenAI, Llama 2, Langchain) Experience serving Neural Networks in production (PyTorch, ONNX, TorchServe, Triton) Experience developing & maintaining production ML services Experience with ad-hoc More ❯