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Hugging Face Jobs in Arkansas (NOW HIRING)

AI Engineer

Little Rock, AR · On-site

$109K - $131K/yr

Rapidly test new tools, frameworks, and APIs (e.g., OpenAI, Hugging Face, Google Vertex AI) for use in forward-looking applications. * Engage in ideation sessions and support the development of MVPs ...

Experience working with or integrating open-source and/or commercial GenAI libraries/frameworks such as Hugging Face Transformers, LangChain, OpenAI API , or similar. * Ability to productionize and ...

Proficiency in Python and strong familiarity with PyTorch, TensorFlow, OpenCV, torchvision,Hugging Face, GPU deepstream. * Familiarity with multimodal models (e.g., CLIP, BLIP, Flamingo) that combine ...

Proficiency in Python and strong familiarity with PyTorch, TensorFlow, OpenCV, torchvision,Hugging Face, GPU deepstream. * Familiarity with multimodal models (e.g., CLIP, BLIP, Flamingo) that combine ...

Proficiency in Python and strong familiarity with PyTorch, TensorFlow, OpenCV, torchvision,Hugging Face, GPU deepstream. * Familiarity with multimodal models (e.g., CLIP, BLIP, Flamingo) that combine ...

Proficiency in Python and strong familiarity with PyTorch, TensorFlow, OpenCV, torchvision,Hugging Face, GPU deepstream. * Familiarity with multimodal models (e.g., CLIP, BLIP, Flamingo) that combine ...

(USA) Staff, Data Scientist

Goshen, AR · On-site

$110K - $220K/yr

Proficiency in Python and strong familiarity with PyTorch, TensorFlow, OpenCV, torchvision,Hugging Face, GPU deepstream. * Familiarity with multimodal models (e.g., CLIP, BLIP, Flamingo) that combine ...

(USA) Staff, Data Scientist

Centerton, AR · On-site

$110K - $220K/yr

Proficiency in Python and strong familiarity with PyTorch, TensorFlow, OpenCV, torchvision,Hugging Face, GPU deepstream. * Familiarity with multimodal models (e.g., CLIP, BLIP, Flamingo) that combine ...

Experience working with or integrating open-source and/or commercial GenAI libraries/frameworks such as Hugging Face Transformers, LangChain, OpenAI API , or similar. * Ability to productionize and ...

Experience working with or integrating open-source and/or commercial GenAI libraries/frameworks such as Hugging Face Transformers, LangChain, OpenAI API , or similar. * Ability to productionize and ...

(USA) Staff, Data Scientist

Decatur, AR · On-site

$110K - $220K/yr

Proficiency in Python and strong familiarity with PyTorch, TensorFlow, OpenCV, torchvision,Hugging Face, GPU deepstream. * Familiarity with multimodal models (e.g., CLIP, BLIP, Flamingo) that combine ...

(USA) Staff, Data Scientist

Elkins, AR · On-site

$110K - $220K/yr

Proficiency in Python and strong familiarity with PyTorch, TensorFlow, OpenCV, torchvision,Hugging Face, GPU deepstream. * Familiarity with multimodal models (e.g., CLIP, BLIP, Flamingo) that combine ...

(USA) Staff, Data Scientist

Lowell, AR · On-site

$110K - $220K/yr

Proficiency in Python and strong familiarity with PyTorch, TensorFlow, OpenCV, torchvision,Hugging Face, GPU deepstream. * Familiarity with multimodal models (e.g., CLIP, BLIP, Flamingo) that combine ...

Experience working with or integrating open-source and/or commercial GenAI libraries/frameworks such as Hugging Face Transformers, LangChain, OpenAI API , or similar. * Ability to productionize and ...

(USA) Staff, Data Scientist

Johnson, AR · On-site

$110K - $220K/yr

Proficiency in Python and strong familiarity with PyTorch, TensorFlow, OpenCV, torchvision,Hugging Face, GPU deepstream. * Familiarity with multimodal models (e.g., CLIP, BLIP, Flamingo) that combine ...

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Hugging Face information

See Arkansas salary details

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How much do hugging face jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for hugging face in Arkansas is $12.78, according to ZipRecruiter salary data. Most workers in this role earn between $10.72 and $15.10 per hour, depending on experience, location, and employer.

What is the difference between Hugging Face vs Machine Learning Engineer?

AspectHugging FaceMachine Learning Engineer
Required CredentialsTypically requires knowledge of NLP, deep learning, and Python; certifications are optionalRequires degrees in CS or related fields; experience with ML frameworks; certifications beneficial
Work EnvironmentCollaborative, research-focused, often in tech companies or startupsDevelopment, deployment, and optimization of ML models in various industries
Employer & Industry UsageUsed by AI/ML companies, research labs, and open-source communitiesEmployed across tech, finance, healthcare, and other sectors implementing ML solutions

Hugging Face primarily focuses on NLP tools, libraries, and open-source models, serving as a platform for AI research and development. Machine Learning Engineers develop, implement, and optimize ML models across various domains. While Hugging Face offers resources and tools that ML Engineers use, the roles differ: Hugging Face is a platform, whereas Machine Learning Engineer is a job role involving hands-on model development and deployment.

What are popular job titles related to Hugging Face jobs in Arkansas?

For Hugging Face jobs in Arkansas, the most frequently searched job titles are:

What cities in Arkansas are hiring for Hugging Face jobs?

Cities in Arkansas with the most Hugging Face job openings:

Infographic showing various Hugging Face job openings in Arkansas as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $26,586 per year, or $12.8 per hour.

$109K - $131K/yr

Other

Re-posted 4 days ago


Job description

Position: AI Engineer

Location: Carmel, IN, Little Rock, AR & Eagan, MN (Hybrid)

Duration: Contract to hire (6 months)

Responsibilities:

  • Research and prototype AI/ML models in areas such as NLP, computer vision, generative AI, and recommendation systems. Rapidly test new tools, frameworks, and APIs (e.g., OpenAI, Hugging Face, Google Vertex AI) for use in forward-looking applications.
  • Engage in ideation sessions and support the development of MVPs and scalable solutions.
  • Utilize a variety of programming languages and tools to build and deploy machine learning models.
  • Support both batch and real-time inference pipelines in collaboration with Data Science and Applied AI teams.
  • Support the development of MVP Gen AI applications by enabling data integrations, vendor connections, and deployment paths Assist in building custom deployment workflows in Python (e.g., with Kubernetes or REST APIs) when needed for prioritized prototypes
  • Collaborate closely to integrate AI into user-facing interfaces Use APIs (e.g., OpenAI, Hugging Face) to embed intelligent features. Ability to make timely recommendations to effectively solve problems, using independent judgment consistent with standards, practices, policies, procedures, regulations, and/or law.

Requirement:

  • Bachelor's degree in, Computer Science, Computer Information Systems, IT, Software Engineering, Data Analytics, Data Science OR Mathematics, Statistics, Economics, Business Administration, or related field with Equivalent Masters or Certifications and see level years of experience (required)
  • Masters, PhD, or Advanced degree (Preferred)
  • 3+ years of experience in AI/ML engineering (Preferred)
  • Experience working with generative AI (e.g., LLMs, diffusion models, multimodal models) preferred
  • Specific experience with R and Python (Required)
  • Previous energy industry experience (Preferred)
  • Specific experience with 5-7 of the following required: Predictive Modelling, Data Cleaning, Data Visualization, Segmentation Modelling, Natural Language Processing, Graph Database Knowledge, API Usage, Database Querying, Software Development, Applied Mathematical Modelling, Programming for Automation, Data Pipeline Building, CI/CD
  • Azure Certifications preferred