101 to 125 of 192 Hugging Face Jobs

right model for use case, cost, and performance constraintsHands‐on experience building Gen AI applications using modern frameworks such as LangChain, LangGraph, LlamaIndex, and Hugging Face, including agentic and multi‐step workflowsProven experience designing and implementing Retrieval‐Augmented Generation (RAG) systems, including vector databases (pgvector, Pinecone, Weaviate, FAISS ...

vector, hybrid)Evaluation methodologies for IR and generative AI systemsStrong programming skills in PythonExperience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack)Experience working with Databricks or similar distributed data and machine learning platformsUnderstanding of experimentation methodologies, evaluation frameworks, and statistical ...

including strong knowledge of database structure and efficiency.Proficiency in the following version control language: GitProficiency in any of the following AI/ML frameworks: Huggingface, Torch, Tensforflow, Scikit-Learn, and SpacyExperience in of any of the following additional platforms related to MLOps: MLFlow, dbt, Docker, Kubernetes.Experience with working cloud environments ...

Comfortable working independently with limited supervision. Strong programming skills in Python and common data science libraries (eg pandas, scikit-learn, TensorFlow/PyTorch, spaCy, Hugging Face). Experience with model evaluation, experimentation, and statistical methods. Ability to communicate complex analytical concepts clearly. Active SC Clearance (must ...

looking for:Proficiency in Python (and at least one other language a plus). Experience with key libraries such as PyTorch, Pandas, Hugging Face Transformers, or similar AI toolkits.Working knowledge of common models, and their use cases and experience applying them to solve specific problems.Solid engineering skills, including ...

service meshes (e.g., Istio).Hands-on experience with Terraform, Ansible, GitHub Actions, ArgoCD, or Jenkins.Experience with vLLM, Ray, MLflow, LangChain/LangSmith, DeepSpeed, or Hugging Face TGI.Solid background in AWS/GCP/Azure, Kubecost, and GPU cost optimisation techniques.Strong skills in Python, Bash, or Go; deep knowledge ...

with generative AI – including prompt engineering, context engineering and multiagent systems and working with managed endpoints (OpenAI, Anthropic, AWS Bedrock) and open-weight models (Hugging Face ecosystem)Knowledge of agentic design patterns and working with LLMsScientific rigour applied to AI. You ask if what is outputted even makes ...

with LLMs, RAG pipelines, embeddings, GenAI evaluation, or human-in-the-loop annotation workflows.Experience with modern AI tools and platforms such as Databricks, PyTorch, Hugging Face, LangChain, LangGraph, Haystack, MLflow, or similar.Preferred qualificationsExperience in life sciences, pharmaceuticals, chemistry, biomedical research, clinical data.Familiarity with ontologies, taxonomies, controlled vocabularies ...

will have the following skills or proven experience: Strong programming skills in Python and experience with AI/ML libraries (e.g. PyTorch, TensorFlow, HuggingFace Transformers) Experience training and/or fine-tuning machine learning models, ideally including LLMs or other deep learning architectures. Able to work collaboratively with Data Scientists ...

including strong knowledge of database structure and efficiency.Proficiency in the following version control language: GitProficiency in any of the following AI/ML frameworks: Huggingface, Torch, Tensforflow, Scikit-Learn, and SpacyExperience in of any of the following additional platforms related to MLOps: MLFlow, dbt, Docker, Kubernetes.Experience with working cloud environments ...

Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries eg. 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 ...

related role.Proven experience in designing and deploying generative AI models and solutions.Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc.Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments.Technical Skills: Proficiency in programming languages such ...

mentor other engineers Your Skills & Experience Strong commercial experience across machine learning and generative AI Hands-on expertise with Python, PyTorch, Scikit-learn, and Hugging Face Experience building production AI systems and MLOps pipelines Practical use of AI coding assistants and agentic engineering workflows Ability to own projects ...

deep learning, and optimisationHands-on experience training, evaluating, and deploying ML models in real-world systemsProficiency with PyTorch (preferred) or TensorFlow; familiarity with the Hugging Face ecosystemExperience with audio or speech models and frameworks.Experience building and maintaining end-to-end ML pipelines and MLOps tooling (e.g. MLflow, Weights ...

well as collaboratively in a team environment. Desirable Skills and Experience: Hands-on experience with AI/LLM APIs (OpenAI, Anthropic, Google, Azure OpenAI, Hugging Face, etc.). Familiarity with prompt engineering techniques such as chain-of-thought, few-shot prompting, RAG (Retrieval-Augmented Generation), or system prompt ...

well as collaboratively in a team environment. Desirable Skills and Experience: Hands-on experience with AI/LLM APIs (OpenAI, Anthropic, Google, Azure OpenAI, Hugging Face, etc.). Familiarity with prompt engineering techniques such as chain-of-thought, few-shot prompting, RAG (Retrieval-Augmented Generation), or system prompt ...

retrieval orchestration Evaluation datasets, benchmarking, and annotation workflows Advanced programming skills in Python. Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack). Experience working with large-scale datasets, distributed data/ML platforms, and production AI systems. Strong understanding ...

based systems Evaluation methodologies for ML/IR/GenAI Advanced programming skills in Python Experience with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis ...

measurementEmbeddings, reranking, and retrieval orchestrationEvaluation datasets, benchmarking, and annotation workflowsAdvanced programming skills in Python.Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack).Experience working with large-scale datasets, distributed data/ML platforms, and production AI systems.Strong understanding of statistical analysis ...

monitoringData Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAIHands-on experience working with Distributed Spark based systems.Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent ...

search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput ...

search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput ...

search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput ...

search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput ...

search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput ...