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Hugging Face Jobs in Colorado (NOW HIRING)

eTeam

Generative AI Developer

Denver, CO · On-site

... Hugging Face • RAG systems and vector databases • Pinecone • FAISS • MLOps Systems • MLflow • model registry • CICD pipelines • Experiment tracking and automated testing • ...

Paradigm

Senior Applied AI Engineer

Denver, CO · On-site

$127K - $187K/yr

Hands-on experience with LLMs, retrieval-augmented generation (RAG) pipelines, and multimodal models from providers such as OpenAI, Anthropic, or Hugging Face. * Highly skilled in Python and at least ...

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How much do hugging face jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for hugging face in Colorado is $16.25, according to ZipRecruiter salary data. Most workers in this role earn between $13.65 and $19.23 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.
What are popular job titles related to Hugging Face jobs in Colorado? For Hugging Face jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Hugging Face jobs in Colorado look for? The top searched job categories for Hugging Face jobs in Colorado are:
What cities in Colorado are hiring for Hugging Face jobs? Cities in Colorado with the most Hugging Face job openings:
Hugging Face jobs near you
Infographic showing various Hugging Face job openings in Colorado as of June 2026, with employment types broken down into 14% As Needed, 47% Full Time, 22% Temporary, 2% Contract, 14% Nights, and 1% Summer. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $33,807 per year, or $16.3 per hour.
Generative AI Developer

Generative AI Developer

eTeam

Denver, CO • On-site

Full-time

Posted 5 days ago

Job description

Job Summary:
eTeam is a company looking for a Generative AI Developer. The role involves strong Python development and experience with various AI and machine learning frameworks, focusing on deploying models and managing MLOps systems.
Responsibilities:
• Strong Python development
• FastAPI
• ML libraries
• ML frameworks
• PyTorch
• TensorFlow
• Scikitlearn
• GenAI stack
• OpenAI
• Claude
• LLaMA
• Hugging Face
• RAG systems and vector databases
• Pinecone
• FAISS
• MLOps Systems
• MLflow
• model registry
• CICD pipelines
• Experiment tracking and automated testing
• Deployment patterns
• batch real-time inference
• Data APIs
• SQL
• REST
• SOAP APIs
• Experience with enterprise systems SAP, Client, etc.
Qualifications:
Required:
• Strong Python development
• FastAPI
• ML libraries
• ML frameworks
• PyTorch
• TensorFlow
• Scikit-learn
• GenAI stack
• OpenAI
• Claude
• LLaMA
• Hugging Face
• RAG systems
• vector databases
• Pinecone
• FAISS
• MLOps Systems
• MLflow
• model registry
• CICD pipelines
• Experiment tracking
• automated testing
• Deployment patterns
• batch real-time inference
• Data APIs
• SQL
• REST
• SOAP APIs
• Minimum years of experience: 8 years
• Education: Bachelor's or Master of Engineering
Preferred:
• Experience with enterprise systems SAP, Client, etc.
Company:
eTeam is a staffing agency that also provides payrolling services. Founded in 1999, the company is headquartered in Somerset, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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