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Machine Learning Nlp Jobs in Georgia (NOW HIRING)

This is a unique opportunity to apply state-of-the-art Generative AI and NLP techniques to a real ... Deep understanding of machine learning fundamentals, including supervised, unsupervised, and ...

Senior Machine Learning Engineer I

Atlanta, GA · On-site

$117K - $155K/yr

This is a unique opportunity to apply state-of-the-art Generative AI and NLP techniques to a real ... Deep understanding of machine learning fundamentals, including supervised, unsupervised, and ...

Knowledge of deep learning and NLP techniques * Experience building Extract Transform Load (ETL) ... for machine learning services * Experience in analyzing the ML algorithms that could be used to ...

Machine Learning and Deep Learning * NLP and/or Computer Vision * Strong experience with Python, SQL, Spark , and modern data engineering frameworks. * Hands-on experience with Google Cloud Platform ...

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.50 - $19.25/hr

... applying NLP, Ai techniques to solve complex data problems. • Strong knowledge of machine learning and deep learning algorithms and statistical models, including supervised and unsupervised ...

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.50 - $19.25/hr

... applying NLP, Ai techniques to solve complex data problems. • Strong knowledge of machine learning and deep learning algorithms and statistical models, including supervised and unsupervised ...

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.25 - $19/hr

... NLP, Ai techniques to solve complex data problems. · Strong knowledge of machine learning and deep learning algorithms and statistical models, including supervised and unsupervised learning methods ...

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.25 - $19/hr

... NLP, Ai techniques to solve complex data problems. · Strong knowledge of machine learning and deep learning algorithms and statistical models, including supervised and unsupervised learning methods ...

Advanced Analytics & Machine Learning * Design, develop, and deploy statistical, predictive, and ... Apply advanced techniques including ensemble methods, gradient boosting, deep learning, NLP, time ...

Showing results 21-40

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 Sep 10, 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?

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 does a machine learning NLP do?

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?

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.

Are machine learning NLP engineers in demand?

Machine learning NLP engineers are in high demand due to the growing use of natural language processing in applications like chatbots, virtual assistants, and data analysis. Companies seek professionals skilled in deep learning frameworks, Python, and NLP tools to develop and improve AI language models, making this a strong career field with positive job growth prospects.
Infographic showing various Machine Learning Nlp job openings in Georgia as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 69% Full Time, 23% Part Time, and 6% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $103,638 per year, or $49.8 per hour.

UPSD Lead AI Architect

Savannah, GA • On-site

$51.50 - $70.50/hr

Full-time

Re-posted 6 days ago


UPS Supply Chain Solutions rating

6.8

Company rating: 6.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

35th of 64 rated delivery companies


Job description

Before you apply to a job, select your language preference from the options available at the top right of this page.
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
Job Description:
Position Summary:
We are seeking a Lead AI Architect to design, develop, and deploy enterprise-scale AI and Generative AI solutions. The ideal candidate will have expertise in LLM-powered applications, agentic AI, RAG architectures, traditional machine learning, and cloud-based AI platforms, while providing technical leadership across cross-functional teams.
Key Responsibilities:
  • Design, develop, and deploy production LLM applications utilizing prompt engineering, context engineering, RAG, and agent orchestration.
  • Architect and implement agentic workflows using LangChain, LlamaIndex, CrewAI, AutoGen, and Hugging Face Transformers.
  • Integrate LLMs with knowledge graphs and multi-agent systems to solve complex business problems.
  • Build scalable RESTful APIs, microservices, and vector database solutions (Pinecone, Weaviate, Milvus, FAISS).
  • Apply AI/ML techniques including deep learning, supervised and unsupervised learning, NLP, NER, text classification, and sentiment analysis.
  • Develop model evaluation frameworks to measure AI quality, safety, and performance.
  • Implement model adaptation techniques including prompt tuning, LoRA, and PEFT.
  • Leverage cloud platforms (Azure ML, Vertex AI) and container technologies (Docker, Kubernetes) to deploy and scale AI solutions.
  • Collaborate with business and technical stakeholders to align AI initiatives with organizational goals.
  • Document AI architectures, deployment patterns, and best practices.

Qualifications:
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field (or equivalent experience).
  • 3+ years of experience in AI/ML, including deep learning, NLP, supervised and unsupervised learning.
  • Proven experience building and deploying LLM-powered applications, RAG pipelines, agent architectures, and evaluation frameworks.
  • Hands-on experience with LangChain, LlamaIndex, CrewAI, AutoGen, and Hugging Face Transformers.
  • Strong Python programming skills with experience in Pandas, PySpark, TensorFlow, and XGBoost.
  • Experience developing production-grade RESTful APIs and microservices.
  • Experience with Azure ML, Vertex AI, and vector databases such as Pinecone, Weaviate, Milvus, or FAISS.
  • Knowledge of Docker, Kubernetes, and modern AI deployment practices.
  • Experience with prompt tuning, fine-tuning, LoRA, and PEFT methodologies.
  • Familiarity with knowledge graphs and multi-agent AI systems.
  • Excellent communication, presentation, and stakeholder management skills.

Employee Type:
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
Other Criteria:
UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.
Basic Qualifications:
Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.

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