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Hugging Face Jobs (NOW HIRING)

Rishabh Software Pvt. Ltd

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 ...

Saransh Inc

Junior Gen AI Engineer

Santa Clara, CA · On-site

Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers. * Architect and implement ...

Digital Links Inc

Java AI/LLM

Glen Lyn, VA · Remote

$52.25 - $67.50/hr

AI/LLM - hugging face model, OLAMA, LLAMA, Mistral * Agentic AI, Open AI, Gemini * Fine tuning of LLM * Lang chain, Lang flow, FAISS, vector database, Cosine similarity search. * Python programing ...

Purple Drive

AI Architect with Data

Jersey City, NJ · On-site

$66.50 - $85.50/hr

Strong understanding of wealth management processes (advisory, investments, billing, CRM). Hands-on experience with GenAI tools and frameworks (OpenAI, Azure OpenAI, LangChain, Hugging Face)

Peraton

Generative AI Specialist / AI & ML Developer

$135K - $216K/yr

GPT 5, Claude, Gemini, Azure OpenAI Service, LangChain, LlamaIndex, Hugging Face Transformers, Python, Pinecone, ChromaDB, Weaviate, pgvector, AWS, Azure, Docker, Kubernetes, REST APIs, JSON/GeoJSON ...

Peraton

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, or Hugging Face Transformers. * Experience with prompt engineering techniques including few-shot learning, chain-of-thought ...

Yantran LLC

Sr Python Developer

Thonotosassa, FL · On-site

$109K - $147K/yr

Expertise in PyTorch or TensorFlow, plus libraries like Scikit-learn, Keras, and Hugging Face. Ollma. Data Handling: Mastery of SQL, NoSQL, Pandas, NumPy, and preprocessing tools. Generative AI LLMs:

E2B

DevRel Engineer

San Francisco, CA · On-site

$225K - $275K/yr

Our customers include companies like Microsoft, Perplexity, Hugging Face, Manus, and Groq. We're building the next hyperscaler for AI agents. About the role Your job will be to inspire developers and ...

Yantran LLC

Python Developer

Tampa, FL · On-site

$45.75 - $63/hr

Expertise in PyTorch or TensorFlow, plus libraries like Scikit-learn, Keras, and Hugging Face. Data Handling: Mastery of SQL, NoSQL, Pandas, NumPy, and preprocessing tools. Generative AI LLMs:

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How much do hugging face jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for hugging face in the United States is $15.46, according to ZipRecruiter salary data. Most workers in this role earn between $12.98 and $18.27 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, software developers, and educators, are likely to persist despite AI advancements. These roles often involve emotional intelligence, nuanced decision-making, and specialized skills that are difficult for AI to replicate. Continuous learning and adaptability are essential for job security in an evolving AI landscape.

What job makes $10,000 a month without a degree?

High-paying roles that can earn $10,000 a month without a degree include skilled trades such as commercial diving, certain sales positions like real estate or software sales, and specialized tech roles like web development or cybersecurity, which often value skills and certifications over formal education. Success in these jobs typically requires experience, technical skills, or industry certifications, and they may involve self-employment or freelance work.

What jobs pay $2000 a day?

High-paying jobs that can pay around $2000 a day often include specialized roles such as senior software engineers, data scientists, management consultants, and certain freelance or contract positions in finance, law, or technology. These roles typically require advanced skills, extensive experience, and sometimes certifications, and may involve project-based or consulting work with flexible schedules.

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.

How much does Hugging Face pay?

Salaries at Hugging Face vary depending on the role, experience, and location, but the company generally offers competitive compensation for AI and machine learning positions. Entry-level roles may start around $80,000 annually, while more experienced engineers and researchers can earn over $150,000 per year. Benefits often include flexible schedules, remote work options, and opportunities to work with cutting-edge NLP tools.
More about Hugging Face jobs
What cities are hiring for Hugging Face jobs? Cities with the most Hugging Face job openings:
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What job categories do people searching Hugging Face jobs look for? The top searched job categories for Hugging Face jobs are:
Hugging Face jobs near you
Infographic showing various Hugging Face job openings in the United States as of June 2026, with employment types broken down into 27% As Needed, 13% Full Time, 7% Temporary, 46% Contract, and 7% Nights. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution, with an average salary of $32,151 per year, or $15.5 per hour.

AI Engineer

Rishabh Software Pvt. Ltd

Little Rock, AR • On-site

$109K - $131K/yr

Other

Posted 27 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

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