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Hugging Face Jobs in Colorado (NOW HIRING)

Experience using AI coding assistants and integrating AI/ML services such as AWS Bedrock, SageMaker, OpenAI, or Hugging Face * Familiarity with generative AI use cases for code quality, test ...

Proficiency with Python, SQL, cloud-based data ecosystems, modern AI/ML frameworks (e.g., Pandas, Scikit-Learn, PyTorch/TensorFlow, LangChain, Hugging Face, PydanticAI), experience with large-scale ...

Proficiency with Python, SQL, cloud-based data ecosystems, modern AI/ML frameworks (e.g., Pandas, Scikit-Learn, PyTorch/TensorFlow, LangChain, Hugging Face, PydanticAI), experience with large-scale ...

Hands-on expertise in integrating generative AI tools, such as OpenAI APIs, LangChain, or Hugging Face frameworks, into SaaS applications. * Strong knowledge of RAG techniques, vector databases (e.g.

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 ...

New

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 ...

New

Hands-on expertise in integrating generative AI tools, such as OpenAI APIs, LangChain, or Hugging Face frameworks, into SaaS applications. * Strong knowledge of RAG techniques, vector databases (e.g.

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How much do hugging face jobs pay per hour?

As of Sep 9, 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.

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 cities in Colorado are hiring for Hugging Face jobs?

Cities in Colorado with the most Hugging Face job openings:

Infographic showing various Hugging Face job openings in Colorado as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $33,807 per year, or $16.3 per hour.

Lead Java Developer

Greenwood Village, CO โ€ข On-site

Excelacom
IT Servicesย โ€ขย 501 - 1,000 employees

Other

Medical, Retirement, PTO

Posted 7 days ago


Key responsibilities

  • Design, build, test, and support scalable full-stack services for mobile device provisioning, activation, account management, and carrier integrations

  • Lead engineering delivery, mentor team members, and drive technical direction across projects

  • Own solution architecture, troubleshoot complex distributed-system issues, and support integrations across internal and carrier platforms


Job description

Lead Java Developer

Greenwood Village, CO

 

Who We Are:

Excelacom is a global consulting and technology solutions firm solving clientโ€™s complex business and technology challenges through a mix of consulting expertise, telecom-focused software, and managed services within the communications and media industries.

 

Who You Are:

We are seeking a Lead Full Stack Software Engineer to support a client mobile engineering organization responsible for backend platforms, device management services, and customer-facing systems that power a large-scale mobile experience. You will drive development of mission-critical mobile platform services, including device lifecycle management, provisioning, mobile account systems, and carrier integrations. You will work in an agile team environment where professional respect and communication are key, applying modern mobile and cloud technologies while serving as a creative problem solver, technical authority, and resource for the team.

As a Consultant, youโ€™ll contribute to client engagements by delivering insights, building deliverables, and leading workstreams. Youโ€™ll be expected to bring strong analytical thinking, and a proactive mindset to solve client problems and drive transformation.

 

Role and Responsibilities:

You may work on various projects throughout your career with Excelacom. The roles and responsibilities noted below pertain to the specific role listed above.

  • Lead engineering delivery across shifting priorities, mentoring team members and driving accountability, collaboration, and technical direction
  • Design, build, test, and support scalable full-stack services for mobile device provisioning, activation, account management, and carrier integrations
  • Develop clean, extensible Java/Spring Boot services and modern web applications using Angular or React, REST APIs, SQL/NoSQL databases, Kafka, and AWS
  • Own solution architecture and technical designs, troubleshoot complex distributed-system issues, and support integrations across internal and carrier platforms
  • Apply Agile, paired programming, test-driven development, CI/CD, and production support best practices to deliver reliable, high-quality solutions
  • Collaborate with engineering, product, scrum, and project teams to translate requirements into effective technical solutions and document key learnings
  • Evaluate and champion AI/ML capabilities and AI-powered development tools to improve platform features, engineering productivity, testing, and operations
  • Work closely with clients to identify process improvements
  • Analyze business challenges and recommend technology-driven solutions
  • Support system development, integration, and testing activities
  • Develop presentations, deliverables, and implementation plans
  • Assist with proposals and business development efforts

 

Required Qualifications:

  • 10+ years of software development experience, including 8+ years with Java, 5+ years with Spring Boot, and 5+ years leading development teams
  • Expertise in Java/Spring Boot and modern front-end development using Angular 2+ or ReactJS, HTML, TypeScript/JavaScript, Node.js, and CSS
  • Strong experience with REST/web services, SQL (MySQL/Postgres), NoSQL (DynamoDB/MongoDB/Neo4J), Kafka, and JPA/Hibernate
  • 3+ years of AWS cloud development experience, including server/serverless architectures, infrastructure-as-code, and CI/CD practices
  • Experience designing and supporting large-scale, highly available enterprise applications, including automated testing and test-driven development
  • Strong knowledge of software architecture, OO design, concurrency, data structures, algorithms, performance, and reliability best practices
  • Demonstrated technical leadership, communication, conflict resolution, mentoring, and ability to guide teams through ambiguity and complex architectural decisions
  • 1+ years of experience with AI-powered development tools or AI/ML integration
  • Bachelorโ€™s degree, preferably in Computer Science or related field
  • Prior consulting experience โ€“ in an agile environment โ€“ with a leading strategy firm, consulting practice, or consulting technology firm
  • Proficiency in Microsoft Office (Word, Excel, PowerPoint, Visio)
  • Strong verbal and written communication skills

 

Preferred Qualifications:

  • Experience with mobile carrier systems, device provisioning APIs, telecom/MVNO integrations, and mobile device lifecycle concepts including SIM/eSIM management
  • Experience using AI coding assistants and integrating AI/ML services such as AWS Bedrock, SageMaker, OpenAI, or Hugging Face
  • Familiarity with generative AI use cases for code quality, test automation, data analysis, anomaly detection, workflow optimization, and AIOps
  • Ability to evaluate AI tools and frameworks and lead practical adoption across an engineering team
  • Masterโ€™s degree in Computer Science, Engineering, or a related field preferred
  • Prior experience in Telecommunications, Media, or Cable is highly preferred
  • Past success in generating new business with existing clients
  • Good time management and collaboration skills

 

Compensation and Benefits:

Excelacom offers competitive salaries, health and wellness benefits, 401(k), paid time off, and career growth opportunities.  For regular full-time employees, the estimated salary range is from $90,000 to $125,000/yr.

EEO Statement:

Excelacom, Inc. is an equal opportunity employer.  Any decision affecting employment, compensation, promotion, or transfer will be based solely on personal qualifications and merit, regardless of sex, race, color, religion, gender identity, sexual orientation, marital status, national origin, disability, age, results of genetic testing, service in the military, pregnancy, childbirth or other related medical conditions or any other factor protected under applicable law.