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Gpt Jobs in Georgia (NOW HIRING)

OpenAI GPT models (GPT-4, GPT-4o, fine-tuned GPTs). * Anthropic Claude (Claude 2/3 for reasoning and safety-aligned workflows). * Google Gemini (multimodal reasoning, advanced RAG integration)

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants, summarization, policy Q&A) using Claude/GPT(Codex)/Gemini, including secure endpoints, tool/function ...

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants, summarization, policy Q&A) using Claude/GPT(Codex)/Gemini, including secure endpoints, tool/function ...

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $165/hr

OpenAI GPT models (GPT‑4, GPT‑4o, fine‑tuned GPTs). * Anthropic Claude (Claude 2/3 for reasoning and safety‑aligned workflows). * Google Gemini (multimodal reasoning, advanced RAG integration)

AI/ML Engineer

Atlanta, GA · On-site

$50 - $70/hr

Experience integrating LLMs (OpenAI GPT, Claude, Gemini, Llama, etc.) into enterprise applications. Knowledge of vector databases such as Pinecone, Chroma, FAISS, Weaviate, or similar is a plus.

New

Design and develop agentic AI systems using GPT-style and other large language model architectures * Architect and optimize agent memory systems, including short-term, long-term, and retrieval-based ...

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Gpt information

What are some common challenges faced by professionals working as GPT engineers, and how can they overcome them?

GPT engineers often encounter challenges such as fine-tuning models for specific tasks, managing large-scale datasets, and optimizing computational resources. They may also need to address ethical concerns and mitigate biases in generated outputs. To overcome these obstacles, engineers typically collaborate closely with data scientists, ethicists, and DevOps teams, and stay updated with the latest research and best practices in the field. Continuous learning and leveraging open-source tools can also help tackle evolving technical and ethical challenges.

What is a GPT?

A GPT job typically refers to a role related to Generative Pre-trained Transformers (GPT), which are AI models designed for natural language processing tasks. These jobs can involve developing, fine-tuning, or applying GPT models in areas like content generation, customer support automation, and AI research. Positions may include machine learning engineers, NLP researchers, or prompt engineers, depending on the specific application of GPT technology.

What are the key skills and qualifications needed to thrive as a GPT engineer, and why are they important?

To thrive as a GPT engineer, you need a strong background in machine learning, natural language processing, and programming languages such as Python, typically supported by a degree in computer science or a related field. Proficiency with deep learning frameworks (like TensorFlow or PyTorch), cloud platforms (such as AWS or Google Cloud), and experience with large language models are crucial. Strong analytical thinking, creativity, and collaborative communication are soft skills that set top performers apart in this field. These skills and qualities are vital to effectively develop, fine-tune, and deploy advanced AI language models that meet real-world applications and ethical standards.

What is the difference between Gpt vs Chatbot Developer?

AspectGptChatbot Developer
Required CredentialsKnowledge of AI, NLP, programming skillsProgramming, AI, UI/UX design
Work EnvironmentAI research labs, tech companiesSoftware companies, customer service teams
Industry UsageAI language models, automationCustomer support, interactive bots
Common Search IntentUnderstanding AI models like GptBuilding or improving chatbots

Gpt refers to advanced AI language models like OpenAI's GPT, focusing on natural language understanding and generation. Chatbot Developers design and implement chatbots, often utilizing models like Gpt. While Gpt is a technology, Chatbot Developers apply such technologies to create interactive applications. Both roles overlap in AI and programming skills but differ in focus: Gpt is a model, whereas Chatbot Developers build user-facing solutions.

What are popular job titles related to Gpt jobs in Georgia? For Gpt jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Gpt jobs in Georgia look for? The top searched job categories for Gpt jobs in Georgia are:
What cities in Georgia are hiring for Gpt jobs? Cities in Georgia with the most Gpt job openings:
Infographic showing various Gpt job openings in Georgia as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 51% Physical, 3% Hybrid, and 46% Remote job distribution.

Python NLP Developer (LLM & GPT APIs) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$49 - $67.50/hr

Full-time

Medical, Retirement, PTO

Re-posted 9 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