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Hugging Face Jobs (NOW HIRING)

Hugging Face, LangChain, Open AI API. * RAG pipelines: use Hugging Face, LangChain, and Open AI API to architect RAG pipelines and integrate generative AI into enterprise cloud environments. * Strong ...

Senior AI/ML Engineer

Indianapolis, IN · On-site

$99.90K - $137.20K/yr

... Hugging Face transformers and fine-tuned models into ETL and downstream applications. • Build and manage robust ETL workflows using Spark, Glue, Airflow, or similar; handle structured/unstructured ...

The ideal candidate combines strong Python development skills with hands-on experience using APIs or frameworks like OpenAI, Hugging Face, LangChain, or LlamaIndex to create intelligent and ...

Key Responsibilities Design, fine‐tune, and deploy LLMs using frameworks like Hugging Face or OpenAI APIs. Build and implement RAG pipelines with vector databases (e.g., Pinecone, FAISS). Develop ...

Key Responsibilities Design, fine-tune, and deploy LLMs using frameworks like Hugging Face or OpenAI APIs. Build and implement RAG pipelines with vector databases (e.g., Pinecone, FAISS). Develop ...

Product Engineer - AI

San Francisco, CA · On-site

$180K - $220K/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 ...

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 secure the ...

Strong experience with scikit-learn, PyTorch, TensorFlow, and Hugging Face libraries. * Proven background in recommendation systems, semantic search, or customer personalization models. * Experience ...

AI Engineer

Little Rock, AR · On-site

$109.80K - $131.90K/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 ...

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How much do hugging face jobs pay per hour?

As of Jun 4, 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.

What professions make 500,000 a year?

Professions that can earn $500,000 or more annually include senior roles such as CEOs, investment bankers, specialized surgeons, and successful entrepreneurs. High earnings often require extensive experience, advanced skills, and often involve leadership or highly specialized knowledge in their fields.

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.

More about Hugging Face jobs
What cities are hiring for Hugging Face jobs? Cities with the most Hugging Face job openings:
What states have the most Hugging Face jobs? States with the most job openings for Hugging Face jobs include:
Infographic showing various Hugging Face job openings in the United States as of May 2026, with employment types broken down into 97% Part Time, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $32,151 per year, or $15.5 per hour.

Staff Engineer - AI Engineer

Nagarro

Remote

Full-time

Posted 4 days ago


Job description

Company Description
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work on a scale across all devices and digital mediums, and our people exist everywhere in the world (17000 plus experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Job Description
Role: AI Engineer
Location: Remote, USA
Duration: 6 Months Contract with possible extension
Job Overview:
  • AI Engineer with 6-9 years of experience required along with (Optional) 2-4 years working in manufacturing domain.
  • Hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP. Proficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data extraction.
  • Applied experience with OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency.
  • LLM/AI: Hugging Face, LangChain, Open AI API.
  • RAG pipelines: use Hugging Face, LangChain, and Open AI API to architect RAG pipelines and integrate generative AI into enterprise cloud environments.
  • Strong communicator - able to translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders. Python, R, SQL LLM/AI: Hugging Face, LangChain, Open AI API, RAG pipelines

Qualifications
Must have:
  • AI Engineer with 6-9 years of experience.
  • Hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP.

Additional Information
Disclaimer: Nagarro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will be afforded equal employment opportunities without discrimination based on race, creed, color, national origin, sex, age, disability, or marital status.