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Hugging Face Jobs in Texas (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 ...

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 Machine Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

... Hugging Face Transformers for model development, fine-tuning, and optimization. • Implement model optimization techniques such as quantization, pruning, distillation, and hardware specific ...

Senior Machine Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

... Hugging Face Transformers for model development, fine-tuning, and optimization. • Implement model optimization techniques such as quantization, pruning, distillation, and hardware specific ...

Senior Machine Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

... Hugging Face Transformers for model development, fine-tuning, and optimization. • Implement model optimization techniques such as quantization, pruning, distillation, and hardware specific ...

Sr Software Engineer AI-ML

Irving, TX · On-site

$113K - $149K/yr

... Hugging Face • Mastery of SQL, NoSQL, Pandas, NumPy, and preprocessing tools • Techniques for prompt engineering • Retrieval-Augmented Generation (RAG) • Model fine-tuning Company : Echo ...

Proven track record building GenAI solutions using RAG : embeddings, vector search, retrieval tuning, prompt engineering, LLM integrations (OpenAI/Azure OpenAI/Anthropic/Hugging Face), using ...

AI Lead (Generative AI)

Texas City, TX · On-site

$119K - $147K/yr

... Hugging Face, LlamaIndex) is a plus. · Understanding of version control systems (Git). · Awareness of AI compliance, data privacy, and responsible AI principles. · Hands-on experience with at ...

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Hugging Face information

See Texas 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 Texas is $14.40, according to ZipRecruiter salary data. Most workers in this role earn between $12.12 and $17.02 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 cities in Texas are hiring for Hugging Face jobs?

Cities in Texas with the most Hugging Face job openings:

Infographic showing various Hugging Face job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $29,953 per year, or $14.4 per hour.

Staff Engineer - AI Engineer

Grand Prairie, TX • On-site


Nagarro
IT Services • 1 - 5K employees

6.6

Company rating: 6.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

172nd of 226 rated it services

Good training


Full-time

Re-posted 3 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 (18000 plus experts across 40 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: Grand-Prairie, Texas 75050
Work Model: Onsite (4 days a week work from office Mon - Thu)
Duration: Fulltime Employee
Job Overview:
  • AI Engineer with 6-9 years of experience required along with 2-4 years working in manufacturing domain(Optional).
  • 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.


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