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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 • ...

CACI

AI/ML Engineer with Security Clearance

Aurora, CO · On-site

Experience with Machine Learning libraries and frameworks such as Hugging Face and LangChain * Experience with Linux * Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda ...

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How much do hugging face jobs pay per hour?

As of Aug 1, 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.

Can you make money on Hugging Face?

Hugging Face is a platform that offers opportunities for data scientists, machine learning engineers, and developers to monetize their skills through jobs, freelance projects, or contributing to open-source models. Earning potential depends on the type of work, experience, and whether you are employed directly or working independently. Building a strong portfolio and expertise in NLP and AI tools can increase income opportunities on the platform.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, educators, and skilled tradespeople, are likely to persist despite AI advancements. These roles often involve emotional intelligence, nuanced judgment, and hands-on skills that are difficult for AI to replicate. Continuous learning and adaptability remain important for job security in an evolving technological landscape.

What are Hugging Face jobs?

Hugging Face jobs refer to employment opportunities at the company focused on developing and maintaining open-source machine learning tools, especially in natural language processing. Roles may include software engineering, research, data science, and product management, often requiring skills in Python, deep learning frameworks, and collaboration in a tech environment.

How much do Hugging Face engineers make?

Hugging Face engineers' salaries vary based on experience, role, and location, but generally range from $100,000 to $180,000 annually. Senior positions and specialized roles in machine learning or software engineering tend to offer higher compensation, often including stock options and benefits.

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 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 July 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $33,807 per year, or $16.3 per hour.

Generative AI Developer

eTeam

Denver, CO • On-site

Full-time

Re-posted 22 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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