1 to 25 of 32 Remote Hugging Face Jobs

/ML solutions. Responsibilities Collaborate across Data Science and DevOps to turn experimental ML models into deployed applications. Package and deploy ML models (including Hugging Face Transformers) as microservices on AWS. Build, train, and evaluate models using AWS tools like SageMaker, Bedrock, Glue, Athena, and Redshift. Develop secure … mindset. Enthusiastic about learning, adapting to new tools, and collaborating in a dynamic environment Tech Stack Languages & Frameworks: Python, R, SQL, Flask, FastAPI Tools: Hugging Face, Apigee, Jenkins, Git, RStudio, Jupyter Cloud: AWS (SageMaker, Glue, Athena, Redshift, Bedrock, ECS Fargate, Lambda) Please apply online for consideration. More ❯

Product, Engineering, and Customer Success to align AI-powered features with user needs. Evaluate, fine-tune, and integrate third-party AI models (e.g., OpenAI, Hugging Face) into our SaaS platform. Define best practices and workflows for integrating AI into a high-growth SaaS product. Contribute to the design … working with LLMs, NLP, and ML pipelines to power user-facing features. Strong Python skills and experience with frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers. Familiarity with LLM fine-tuning, embeddings, and retrieval-augmented generation (RAG). Practical experience deploying AI models into production environments and 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

skills in Python or another high-level language commonly used in machine learning. Expertise in NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn). Experience with information retrieval techniques and structured data extraction from unstructured sources. Hands-on experience with LLM APIs for More ❯

ML initiatives. Expertise in LLM-driven architectures, prompt engineering, and fine-tuning. Strong hands-on experience with AI frameworks like LangChain, OpenAI APIs, and Hugging Face. Deep understanding of multi-agent systems, decision-making algorithms, and reinforcement learning. Experience with cloud-based AI deployment (AWS, GCP, or Azure). More ❯

with exposure to computational linguistics are highly desirable, either from a research academic or commercial perspective. Proficiency in Python and ML libraries such as Hugging Face, PyTorch, TensorFlow, and Scikit-learn. Experience deploying AI solutions into production environments using AWS/GCP/Azure. Hands-on with MLOps More ❯

with exposure to computational linguistics are highly desirable, either from a research academic or commercial perspective. Proficiency in Python and ML libraries such as Hugging Face, PyTorch, TensorFlow, and Scikit-learn. Experience deploying AI solutions into production environments using AWS/GCP/Azure. Hands-on with MLOps More ❯

participate in the upside of an ultra-growth venture. Have fun. Apply if: You have experience with our stack: Python, LlamaIndex/LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. You have hands-on experience working with LLMs, RAG architectures, NLP, or applying Machine Learning to More ❯

of NLP models. • Build custom language models tailored to specific industry requirements. What We're Looking For: • Proven experience with NLP frameworks such as Hugging Face, spaCy, or TensorFlow. • Hands-on experience working with Large Language Models (LLMs) and deploying them in production. • Advanced Python skills, with the More ❯

CD pipelines, containerization, and cloud deployment for large-scale models. Solid programming skills in Python and familiarity with machine learning frameworks like TensorFlow, PyTorch, Hugging Face Transformers, and MLOps tools (e.g., MLflow, Kubeflow). Strong analytical and problem-solving skills, with an aptitude for translating complex theoretical research More ❯

NLP applications. Technical Skills: Knowledge of tools like Dialogflow, Microsoft Bot Framework, Rasa, and Amazon Lex. Knowledge with libraries such as spaCy, NLTK, and Hugging Face Transformers. Practical experience with Python, REST APIs, and dialog model training data preparation. Excellent ability to present complex AI concepts clearly and More ❯

AI models for real-world implementation. Candidate Requirements Strong Python programming skills, with experience in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Extensive experience in NLP and Generative AI , including working with large-scale language models. Proficiency in AWS cloud computing , including Athena, SageMaker, and More ❯

practices for seamless model deployment, monitoring, and iteration. What We’re Looking For: 🔹 Strong Python skills – You know your way around TensorFlow, PyTorch, or Hugging Face. 🔹 Experience with LLMs, NLP, or recommendation algorithms . 🔹 Familiarity with MLOps, APIs, and scalable cloud solutions . 🔹 Passion for AI-powered personalisation and More ❯

practices for seamless model deployment, monitoring, and iteration. What We’re Looking For: 🔹 Strong Python skills – You know your way around TensorFlow, PyTorch, or Hugging Face. 🔹 Experience with LLMs, NLP, or recommendation algorithms . 🔹 Familiarity with MLOps, APIs, and scalable cloud solutions . 🔹 Passion for AI-powered personalisation and More ❯

experience in symbolic AI techniques, knowledge representation, and rule-based systems. Experience with large language models (LLMs) and associated tooling( for example OpenAI, Anthropic, Huggingface), and a solid grasp of natural language processing techniques to enhance machine understanding and interaction. Knowledge of vector databases, embeddings, and retrieval-augmented generation style More ❯

skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high-risk, and a high reward environment Desirable skills Experience More ❯

cost, or improving our search service Tech Stack: Platform: AWS, Pulumi, Docker, Prefect, Github actions, Grafana cloud monitoring Data Science: Python, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Argilla, Weights and Biases Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, AWS Batch, Lambda, S3 Frontend: React, Next.js Key skills and experience: Experience using More ❯

equivalent experience in ML, NLP, or a related discipline, with strong understanding of LLM internals. Toolbelt Ready : Proficient in Python and LLM tools like Hugging Face, LangChain, or OpenAI API. Prompt-Savvy : Comfortable with prompt engineering, model evaluation, and structured analysis of generative systems. Experimentation First : Experience (or More ❯

Strong English proficiency. Desirable Qualifications Bachelor’s degree in computer science or equivalent Knowledge of: Java/Kotlin, MariaDB, any machine learning framework (Torch, huggingface, …) Experience in system architecture design Experience in CI/CD Experience with Scrum/Agile software development HTML/CSS Our Offer Competitive salary, bonus More ❯

accurate, safe, and clinically relevant. Key responsibilities . Curate, label and augment real chat data to fine-tune a large-language-model (Azure OpenAI, Hugging Face, etc.) . Design and run evaluation experiments (precision/recall, BLEU, CSAT, etc.), then turn findings into actionable model tweaks. . Optimise More ❯