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Hugging Face Jobs in Springfield, MA (NOW HIRING)

Responsibilities : • Develop and fine-tune LLMs and GenAI models (e.g., GPT, BERT, LLaMA) • Implement NLP solutions: text generation, summarization, chatbots • Work with tools like Hugging Face ...

... Hugging Face Transformers. • Experience with LLMs (GPT, Claude, Gemini, etc.), vector databases, and retrieval-augmented generation (RAG). • Strong understanding of NLP, deep learning, and model ...

GenAI Lead

Hartford, CT · On-site

$55.75 - $76.50/hr

Proficiency in Python and related ML frameworks eg TensorFlow PyTorch Hugging Face LangChain). Strong experience with cloud platforms (preferably Google Cloud Platform but AWS or Azure also ...

Hugging Face information

See Springfield, MA salary details

$8

$15

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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 Springfield, MA is $15.44, 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 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 job categories do people searching Hugging Face jobs in Springfield, MA look for?

The top searched job categories for Hugging Face jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Hugging Face jobs?

Cities near Springfield, MA with the most Hugging Face job openings:

Infographic showing various Hugging Face job openings in Springfield, MA as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $32,123 per year, or $15.4 per hour.

Gen AI Developer

Info Way Solutions

Hartford, CT • On-site

Full-time

Re-posted 22 days ago


Job description

Job Summary:
Info Way Solutions is seeking an experienced AI / Generative AI Developer to join its team in Hartford, CT. This role involves designing and deploying GenAI solutions using large language models (LLMs) and advanced NLP techniques.
Responsibilities:
• Develop and fine-tune LLMs and GenAI models (e.g., GPT, BERT, LLaMA)
• Implement NLP solutions: text generation, summarization, chatbots
• Work with tools like Hugging Face, LangChain, OpenAI APIs
• Deploy models on Azure, AWS, or GCP
• Collaborate with cross-functional teams to deliver end-to-end AI solutions
Qualifications:
Required:
• Python, PyTorch or TensorFlow
• Hands-on with LLMs and prompt engineering
• Experience in cloud ML platforms (Azure ML, AWS SageMaker)
• Familiar with MLOps, APIs, Docker/Kubernetes
• Bachelor's or Master's in Computer Science, AI/ML, or related field
Company:
Founded and incorporated in 2012 , Info Way Solutions is an IT services and consulting company headquartered in Fremont , CA. Founded in 2012, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.