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Hugging Face Jobs in Lithonia, GA (NOW HIRING)

Required : • Strong foundation in AI, deep learning, and machine learning principles. • Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API. • Hands-on experience ...

AI Architect

Atlanta, GA · On-site

$60.50 - $79.75/hr

Hands-on experience with Python, SQL, and AI frameworks such as TensorFlow, PyTorch, LangChain, Hugging Face, or similar. * Experience with cloud platforms such as AWS, Azure, or Google Cloud.

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $165/hr

Proficiency in Python and libraries such as PyTorch, TensorFlow, Scikit‑Learn, Hugging Face Transformers. * Hands‑on experience with LLMs/SLMs (fine‑tuning, prompt design, inference ...

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Hugging Face information

See Lithonia, GA salary details

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How much do hugging face jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for hugging face in Lithonia, GA is $14.11, according to ZipRecruiter salary data. Most workers in this role earn between $11.83 and $16.68 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 Lithonia, GA look for?

The top searched job categories for Hugging Face jobs in Lithonia, GA are:

What cities near Lithonia, GA are hiring for Hugging Face jobs?

Cities near Lithonia, GA with the most Hugging Face job openings:

Infographic showing various Hugging Face job openings in Lithonia, GA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $29,352 per year, or $14.1 per hour.

Full-time

Re-posted 27 days ago


Job description

Job Summary:
RIT Solutions, Inc. is a company focused on innovative AI solutions, seeking a Gen AI Engineer to enhance their capabilities. The role involves building and developing models to improve understanding and recommendations using advanced AI and machine learning techniques.
Responsibilities:
• Build and develop models to improve and enhance the current environment for better understanding and recommendations.
Qualifications:
Required:
• Strong foundation in AI, deep learning, and machine learning principles.
• Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API.
• Hands-on experience building, fine-tuning, evaluating, and deploying LLMs (open-source and commercial).
• Experience building agent-based systems using tools like LangGraph, CrewAI, OpenAI agents, or similar frameworks.
• Experience with multi-modal data and intelligent agent-based tools.
• Ability to develop prototypes, PoCs, MVPs using one or more of the following.
• Experience with TensorFlow, Keras, and PyTorch.
• Familiar with Google Model Garden, Amazon Bedrock, and Nvidia Nim.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.