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Hugging Face Jobs in Decatur, GA (NOW HIRING)

LLM integrations (OpenAI/Azure OpenAI/Anthropic/Hugging Face). Detailed JD: * 10+ years of professional software development experience, with demonstrated full-stack delivery in production. * Strong ...

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 ...

Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn, Hugging Face), Data engineering and pipeline development (Airflow, Spark, ETL systems), MLOps, model lifecycle management, and ...

Senior ML Engineer

Atlanta, GA · On-site

$100K - $138K/yr

... Hugging Face Transformers). • Solid understanding and hands-on experience with core NLP techniques and architectures, especially Transformers. • Experience with cloud platforms, particularly ...

Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn, Hugging Face) * Data engineering and pipeline development (Airflow, Spark, ETL systems) * MLOps, model lifecycle management, and ...

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How much do hugging face jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for hugging face in Decatur, GA is $15.09, according to ZipRecruiter salary data. Most workers in this role earn between $12.69 and $17.84 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 Decatur, GA? For Hugging Face jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Hugging Face jobs in Decatur, GA look for? The top searched job categories for Hugging Face jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Hugging Face jobs? Cities near Decatur, GA with the most Hugging Face job openings:
Infographic showing various Hugging Face job openings in Decatur, GA as of June 2026, with employment types broken down into 9% As Needed, 37% Full Time, 30% Part Time, 3% Temporary, 18% Contract, and 3% Nights. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $31,390 per year, or $15.1 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 26 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