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Machine Learning Nlp Jobs in Georgia (NOW HIRING)

Build scalable, reusable AI products using RAG, multi-agent systems, and NLP on GCP or Azure. Key Responsibilities: Develop AI/RAG solutions for structured and unstructured data Build multi-agent ...

Minimum 8+ years of experience in Data Science, AI, or Machine Learning * Strong hands-on expertise in AI & ML , including supervised and unsupervised learning, NLP, or deep learning * Advanced ...

Minimum 8+ years of experience in Data Science, AI, or Machine Learning * Strong hands-on expertise in AI & ML , including supervised and unsupervised learning, NLP, or deep learning * Advanced ...

Minimum 8+ years of experience in Data Science, AI, or Machine Learning * Strong hands-on expertise in AI & ML , including supervised and unsupervised learning, NLP, or deep learning * Advanced ...

AI & Machine Learning * Build and scale the organization's AI/ML capabilities, including traditional ML, deep learning, NLP on clinical text, and generative AI / LLM applications (RAG, agentic ...

Minimum 10+ years of experience in Data Science, AI, or Machine Learning * Strong hands-on expertise in AI & ML , including supervised and unsupervised learning, NLP, or deep learning * Advanced ...

Machine Learning Engineer

Atlanta, GA ยท On-site

$85.92 - $130/hr

Exposure to GenAI/NLP, AutoML, model explainability * Familiarity with Databricks or similar platforms * Experience supporting high-volume, real-time data products * Automated testing and validation ...

Machine Learning, NLP, Deep Learning Required Qualifications * 10+ years of experience in software development, architecture, cloud infrastructure, and modern technologies. * Proficiency in ...

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Machine Learning Nlp information

See Georgia salary details

$31.7K

$103.6K

$165.9K

How much do machine learning nlp jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning nlp in Georgia is $103,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $114,800.00 per year, depending on experience, location, and employer.

What is a Machine Learning NLP job?

A Machine Learning NLP job involves developing algorithms and models that enable machines to understand, process, and generate human language. Professionals in this role work with large datasets, train models on text data, and fine-tune natural language processing techniques such as sentiment analysis, text classification, and language translation. They often use machine learning frameworks like TensorFlow, PyTorch, and NLP libraries such as spaCy or Hugging Face Transformers. The goal is to build intelligent applications, including chatbots, search engines, and automated content analysis systems.

What are the typical daily responsibilities of a Machine Learning NLP specialist?

As a Machine Learning NLP specialist, your daily responsibilities often include designing and implementing NLP models, cleaning and preprocessing large text datasets, and experimenting with algorithms to improve model performance. You may also evaluate model results, collaborate with software engineers and data scientists, and stay updated on the latest research in the field. Frequent code reviews, participation in team meetings, and contributing to documentation are also common. This role combines hands-on technical work with collaborative problem-solving to develop language-based AI solutions for real-world applications.

What are the key skills and qualifications needed to thrive in the Machine Learning Nlp position, and why are they important?

To thrive as a Machine Learning NLP professional, you need a strong background in machine learning, natural language processing, data analysis, and proficiency in programming languages such as Python, typically supported by a relevant degree in computer science or related field. Familiarity with NLP libraries (like spaCy, NLTK, or Hugging Face), machine learning frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are highly valued, and certifications can enhance your profile. Strong problem-solving skills, effective communication abilities, and adaptability are important soft skills in this role. These competencies enable you to build sophisticated language models and efficiently collaborate on cross-functional projects in a rapidly evolving technical landscape.

Infographic showing various Machine Learning Nlp job openings in Georgia as of June 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $103,638 per year, or $49.8 per hour.
Python NLP Developer (LLM & GPT APIs) - Q125

Python NLP Developer (LLM & GPT APIs) - Q125

R2 Technologies Corporation

Alpharetta, GA โ€ข On-site

$49 - $67.50/hr

Full-time

Medical, Retirement, PTO

Posted 4 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