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Hugging Face Jobs in Georgia (NOW HIRING)

Hirekeyz Inc

Lead Engineer- Cloud Product

Alpharetta, GA · On-site

$100K - $131K/yr

Experienced with modern ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.) and MLOps tools (Kubeflow, MLflow, Vertex AI Pipelines). * Proven record developing and deploying secure, enterprise ...

Frontier Technology Inc.

AI/ML Engineer

Atlanta, GA · Remote

$140K - $220K/yr

Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain. * Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or ...

Frontier Technology Inc.

AI/ML Engineer

Atlanta, GA · Remote

$140K - $220K/yr

Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain. * Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or ...

Award Winning 'Big Data' Enterprise Software Company in Growth Mode

Be Seen First

AI Data Reporting modern AI Data tools and Power Apps 2-5 years of exp

Clarkston, GA · On-site

$85K - $115K/yr

Azure ML, AWS SageMaker, Google VertexAI, Hugging Face, ML Flow) in order to properly exhibit data, patterns, and real time business situations that allow for end-user decision making. * Experience ...

Diverse Lynx

AI/ML Engineer

Alpharetta, GA

Experience working with Generative AI technologies including LLMs, LangChain, OpenAI APIs, Hugging Face, vector databases, and RAG architectures. * Strong understanding of machine learning algorithms ...

Infosys

Gen AI / Agentic AI Lead

Alpharetta, GA · On-site

$133K - $163K/yr

... Hugging Face Transformers, LangChain, PyTorch). • Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search). • Familiarity with cloud platforms and Gen AI services ...

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How much do hugging face jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for hugging face in Georgia is $13.05, according to ZipRecruiter salary data. Most workers in this role earn between $10.96 and $15.43 per hour, depending on experience, location, and employer.

What professions make 500,000 a year?

Professions that can earn $500,000 or more annually include senior roles such as CEOs, investment bankers, specialized surgeons, and successful entrepreneurs. High earnings often require extensive experience, advanced skills, and often involve leadership or highly specialized knowledge in their fields.

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 Georgia? For Hugging Face jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Hugging Face jobs in Georgia look for? The top searched job categories for Hugging Face jobs in Georgia are:
What cities in Georgia are hiring for Hugging Face jobs? Cities in Georgia with the most Hugging Face job openings:
Hugging Face jobs near you
Infographic showing various Hugging Face job openings in Georgia as of May 2026, with employment types broken down into 37% Full Time, 59% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $27,147 per year, or $13.1 per hour.
Python NLP Developer (LLM & GPT APIs) - Q125

Python NLP Developer (LLM & GPT APIs) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$49 - $67.50/hr

Full-time

Medical, Retirement, PTO

Posted 3 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Python NLP Developer (LLM & GPT APIs)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a specialized Python NLP Developer to build natural language processing solutions using LLMs and GPT APIs. This role focuses on leveraging Python with Hugging Face or OpenAI APIs for advanced NLP applications.
Key Responsibilities
  • Develop NLP solutions using Python with LLMs and GPT APIs for text processing and generation.
  • Integrate transformer models from Hugging Face or OpenAI API into production applications.
  • Design and optimize NLP pipelines for tasks like sentiment analysis, text summarization, or chatbots.
  • Collaborate with data teams to preprocess and refine datasets for NLP model training.
  • Ensure performance and scalability of NLP applications in real-world use cases.
  • Monitor and improve NLP model accuracy and responsiveness over time.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Python developer with a focus on NLP and transformer models.
  • Proficiency in using LLMs and GPT APIs (e.g., Hugging Face, OpenAI) for NLP tasks.
  • Experience building and deploying NLP pipelines with Python in production environments.
  • Strong understanding of natural language processing techniques and model integration.

Preferred Qualifications
  • Familiarity with advanced NLP frameworks like SpaCy or NLTK for preprocessing tasks.
  • Exposure to cloud platforms like AWS or GCP for hosting NLP applications.
  • Knowledge of fine-tuning transformer models for domain-specific NLP use cases.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Python, NLP, Natural Language Processing, GPT, LLM, Transformer Models, Hugging Face, OpenAI API

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