26 to 50 of 69 Remote Hugging Face Jobs

5+ years of industry experience in machine learning, deep learning, or applied AI Proficiency in Python, PyTorch/TensorFlow, and modern ML toolchains (e.g., Hugging Face, OpenAI API, or custom training frameworks). Experience building data pipelines for model training, evaluation, and continuous improvement. Understanding of retrieval-augmented ...

5+ years of industry experience in machine learning, deep learning, or applied AI Proficiency in Python, PyTorch/TensorFlow, and modern ML toolchains (e.g., Hugging Face, OpenAI API, or custom training frameworks). Experience building data pipelines for model training, evaluation, and continuous improvement. Understanding of retrieval-augmented ...

5+ years of industry experience in machine learning, deep learning, or applied AI Proficiency in Python, PyTorch/TensorFlow, and modern ML toolchains (e.g., Hugging Face, OpenAI API, or custom training frameworks). Experience building data pipelines for model training, evaluation, and continuous improvement. Understanding of retrieval-augmented ...

5+ years of industry experience in machine learning, deep learning, or applied AI Proficiency in Python, PyTorch/TensorFlow, and modern ML toolchains (e.g., Hugging Face, OpenAI API, or custom training frameworks). Experience building data pipelines for model training, evaluation, and continuous improvement. Understanding of retrieval-augmented ...

5+ years of industry experience in machine learning, deep learning, or applied AI Proficiency in Python, PyTorch/TensorFlow, and modern ML toolchains (e.g., Hugging Face, OpenAI API, or custom training frameworks). Experience building data pipelines for model training, evaluation, and continuous improvement. Understanding of retrieval-augmented ...

5+ years of industry experience in machine learning, deep learning, or applied AI Proficiency in Python, PyTorch/TensorFlow, and modern ML toolchains (e.g., Hugging Face, OpenAI API, or custom training frameworks). Experience building data pipelines for model training, evaluation, and continuous improvement. Understanding of retrieval-augmented ...

5+ years of industry experience in machine learning, deep learning, or applied AI Proficiency in Python, PyTorch/TensorFlow, and modern ML toolchains (e.g., Hugging Face, OpenAI API, or custom training frameworks). Experience building data pipelines for model training, evaluation, and continuous improvement. Understanding of retrieval-augmented ...

5+ years of industry experience in machine learning, deep learning, or applied AI Proficiency in Python, PyTorch/TensorFlow, and modern ML toolchains (e.g., Hugging Face, OpenAI API, or custom training frameworks). Experience building data pipelines for model training, evaluation, and continuous improvement. Understanding of retrieval-augmented ...

5+ years of industry experience in machine learning, deep learning, or applied AI Proficiency in Python, PyTorch/TensorFlow, and modern ML toolchains (e.g., Hugging Face, OpenAI API, or custom training frameworks). Experience building data pipelines for model training, evaluation, and continuous improvement. Understanding of retrieval-augmented ...

5+ years of industry experience in machine learning, deep learning, or applied AI Proficiency in Python, PyTorch/TensorFlow, and modern ML toolchains (e.g., Hugging Face, OpenAI API, or custom training frameworks). Experience building data pipelines for model training, evaluation, and continuous improvement. Understanding of retrieval-augmented ...

5+ years of industry experience in machine learning, deep learning, or applied AI Proficiency in Python, PyTorch/TensorFlow, and modern ML toolchains (e.g., Hugging Face, OpenAI API, or custom training frameworks). Experience building data pipelines for model training, evaluation, and continuous improvement. Understanding of retrieval-augmented ...

5+ years of industry experience in machine learning, deep learning, or applied AI Proficiency in Python, PyTorch/TensorFlow, and modern ML toolchains (e.g., Hugging Face, OpenAI API, or custom training frameworks). Experience building data pipelines for model training, evaluation, and continuous improvement. Understanding of retrieval-augmented ...

SaaS models and locally hosted models Build and evolve Retrieval-Augmented Generation (RAG) pipelines for both structured and unstructured financial and accounting data Leverage HuggingFace, vLLM, prompt engineering, and model orchestration frameworks to deliver advanced AI solutions Implement robust evaluation, testing, and monitoring processes for LLM outputs, prioritising correctness, determinism ...

SaaS models and locally hosted models Build and evolve Retrieval-Augmented Generation (RAG) pipelines for both structured and unstructured financial and accounting data Leverage HuggingFace, vLLM, prompt engineering, and model orchestration frameworks to deliver advanced AI solutions Implement robust evaluation, testing, and monitoring processes for LLM outputs, prioritising correctness, determinism ...

SaaS models and locally hosted models Build and evolve Retrieval-Augmented Generation (RAG) pipelines for both structured and unstructured financial and accounting data Leverage HuggingFace, vLLM, prompt engineering, and model orchestration frameworks to deliver advanced AI solutions Implement robust evaluation, testing, and monitoring processes for LLM outputs, prioritising correctness, determinism ...

SaaS models and locally hosted models Build and evolve Retrieval-Augmented Generation (RAG) pipelines for both structured and unstructured financial and accounting data Leverage HuggingFace, vLLM, prompt engineering, and model orchestration frameworks to deliver advanced AI solutions Implement robust evaluation, testing, and monitoring processes for LLM outputs, prioritising correctness, determinism ...

SaaS models and locally hosted models Build and evolve Retrieval-Augmented Generation (RAG) pipelines for both structured and unstructured financial and accounting data Leverage HuggingFace, vLLM, prompt engineering, and model orchestration frameworks to deliver advanced AI solutions Implement robust evaluation, testing, and monitoring processes for LLM outputs, prioritising correctness, determinism ...

SaaS models and locally hosted models Build and evolve Retrieval-Augmented Generation (RAG) pipelines for both structured and unstructured financial and accounting data Leverage HuggingFace, vLLM, prompt engineering, and model orchestration frameworks to deliver advanced AI solutions Implement robust evaluation, testing, and monitoring processes for LLM outputs, prioritising correctness, determinism ...

SaaS models and locally hosted models Build and evolve Retrieval-Augmented Generation (RAG) pipelines for both structured and unstructured financial and accounting data Leverage HuggingFace, vLLM, prompt engineering, and model orchestration frameworks to deliver advanced AI solutions Implement robust evaluation, testing, and monitoring processes for LLM outputs, prioritising correctness, determinism ...

SaaS models and locally hosted models Build and evolve Retrieval-Augmented Generation (RAG) pipelines for both structured and unstructured financial and accounting data Leverage HuggingFace, vLLM, prompt engineering, and model orchestration frameworks to deliver advanced AI solutions Implement robust evaluation, testing, and monitoring processes for LLM outputs, prioritising correctness, determinism ...

SaaS models and locally hosted models Build and evolve Retrieval-Augmented Generation (RAG) pipelines for both structured and unstructured financial and accounting data Leverage HuggingFace, vLLM, prompt engineering, and model orchestration frameworks to deliver advanced AI solutions Implement robust evaluation, testing, and monitoring processes for LLM outputs, prioritising correctness, determinism ...

SaaS models and locally hosted models Build and evolve Retrieval-Augmented Generation (RAG) pipelines for both structured and unstructured financial and accounting data Leverage HuggingFace, vLLM, prompt engineering, and model orchestration frameworks to deliver advanced AI solutions Implement robust evaluation, testing, and monitoring processes for LLM outputs, prioritising correctness, determinism ...

SaaS models and locally hosted models Build and evolve Retrieval-Augmented Generation (RAG) pipelines for both structured and unstructured financial and accounting data Leverage HuggingFace, vLLM, prompt engineering, and model orchestration frameworks to deliver advanced AI solutions Implement robust evaluation, testing, and monitoring processes for LLM outputs, prioritising correctness, determinism ...

SaaS models and locally hosted models Build and evolve Retrieval-Augmented Generation (RAG) pipelines for both structured and unstructured financial and accounting data Leverage HuggingFace, vLLM, prompt engineering, and model orchestration frameworks to deliver advanced AI solutions Implement robust evaluation, testing, and monitoring processes for LLM outputs, prioritising correctness, determinism ...

SaaS models and locally hosted models Build and evolve Retrieval-Augmented Generation (RAG) pipelines for both structured and unstructured financial and accounting data Leverage HuggingFace, vLLM, prompt engineering, and model orchestration frameworks to deliver advanced AI solutions Implement robust evaluation, testing, and monitoring processes for LLM outputs, prioritising correctness, determinism ...