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Nlp Engineer Jobs in Georgia (NOW HIRING)

CNN

Machine Learning Engineer I

Atlanta, GA · On-site

CNN is a global leader in news and information, seeking a Machine Learning Engineer I to build and ... NLP, or information retrieval • Familiarity with data pipelines, feature stores, or embedding ...

Smarsh

Lead Data Scientist

Atlanta, GA

... oriented programming) * Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc...) * Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText ...

ConstructConnect

AI Engineer

Atlanta, GA · On-site

We are looking for an AI Engineer to design, build, and operate shared AI capabilities that other ... Understanding of modern AI capabilities such as generative AI, embeddings, retrieval patterns, NLP ...

ConstructConnect

AI Engineer

Atlanta, GA

We are looking for an AI Engineer to design, build, and operate shared AI capabilities that other ... Understanding of modern AI capabilities such as generative AI, embeddings, retrieval patterns, NLP ...

QGenda

Senior Data Engineer

Atlanta, GA · Hybrid

$101K - $138K/yr

About Your Role As a Senior Data Engineer, you will design, build, and optimize the data platform ... Experience preparing datasets and data structures for AI/ML use cases, including NLP-driven ...

Sapsol Technologies Inc

Tech Lead (AI)

Alpharetta, GA

... engineering skills with the ability to work closely with business and global technology stakeholders. Key Responsibilities Design, develop, and maintain Python-based backend services supporting NLP ...

Lorven Technologies

Tech Lead (AI)

Alpharetta, GA · On-site

... engineering skills with the ability to work closely with business and global technology stakeholders. Key Responsibilities: Design, develop, and maintain Python-based backend services supporting NLP ...

Sapsol Technologies Inc

Tech Lead (AI)

Alpharetta, GA · On-site

... NLP) and Chatbot development to support technology initiatives within Wealth Management business ... The ideal candidate combines strong backend engineering skills with the ability to work closely ...

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Nlp Engineer information

See Georgia salary details

$30.8K

$90.6K

$116.1K

How much do nlp engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for nlp engineer in Georgia is $90,587.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,700.00 and $114,800.00 per year, depending on experience, location, and employer.

What are typical projects or responsibilities for an NLP engineer in a team setting?

As an NLP Engineer, you will often work on projects such as building text classification models, developing chatbots, or creating tools for information extraction from documents. Your responsibilities may include data preprocessing, model development and evaluation, and collaborating with data scientists or software engineers to deploy models into production. Day-to-day, you’ll also be involved in regular code reviews, experiment tracking, and keeping up with new advancements in NLP techniques. Teamwork and clear communication are essential, as you’ll regularly coordinate with product managers and other stakeholders to align solutions with business goals. This environment provides opportunities to develop both technical depth and leadership skills as you take on increasingly complex projects.

What are the key skills and qualifications needed to thrive in the NLP engineer position, and why are they important?

To thrive as an NLP Engineer, you need a strong foundation in mathematics, programming (especially Python), and experience with machine learning and natural language processing techniques, typically supported by a degree in computer science or a related field. Familiarity with NLP frameworks such as spaCy, NLTK, or Hugging Face Transformers, as well as experience using cloud platforms and version control systems, is also important. Strong problem-solving abilities, communication skills, and a collaborative mindset help you stand out in this role. These skills and qualities are crucial for developing, deploying, and optimizing language-based AI solutions that meet real-world business needs.

What does an NLP engineer do?

An NLP Engineer develops algorithms and models that enable computers to understand, interpret, and generate human language. They work with machine learning, deep learning, and linguistic principles to build applications like chatbots, speech recognition systems, and text analytics tools. Their role involves data preprocessing, model training, and optimization to improve language-based AI solutions.

What are the most commonly searched types of Nlp Engineer jobs in Georgia? The most popular types of Nlp Engineer jobs in Georgia are:
What are popular job titles related to Nlp Engineer jobs in Georgia? For Nlp Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Nlp Engineer jobs in Georgia look for? The top searched job categories for Nlp Engineer jobs in Georgia are:
What cities in Georgia are hiring for Nlp Engineer jobs? Cities in Georgia with the most Nlp Engineer job openings:
Nlp Engineer jobs near you
Infographic showing various Nlp Engineer job openings in Georgia as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $90,587 per year, or $43.6 per hour.

Machine Learning Engineer I

CNN

Atlanta, GA • On-site

Full-time

Re-posted 20 days ago

Job description

Job Summary:
CNN is a global leader in news and information, seeking a Machine Learning Engineer I to build and deploy ML systems that enhance personalization, search, recommendations, and content understanding for millions of users. The role involves collaborating with cross-functional teams and working on production ML systems that have measurable product impact.
Responsibilities:
• Build and deploy full-lifecycle machine learning systems in Python for CNN digital products, including personalization, search, recommendations, and content understanding
• Develop and maintain production ML pipelines, including feature engineering, model training, evaluation, and serving infrastructure
• Implement rigorous experimentation and A/B testing frameworks to validate model performance and product impact
• Optimize ML systems for real-time, web-scale performance serving millions of users
• Partner with platform and infrastructure teams to ensure ML systems meet reliability, scalability, and performance standards
• Contribute to code reviews, documentation, and team knowledge sharing
Qualifications:
Required:
• Graduate degree (MS or PhD) in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field
• 1+ years of professional experience building and deploying machine learning systems in production environments
• Strong Python programming skills and experience with machine learning frameworks (e.g., scikit-learn or similar)
• Experience across the full ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, and deployment
• Solid understanding of software engineering best practices, including version control, testing, and CI/CD
• Ability to collaborate effectively with cross-functional partners
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders
Preferred:
• Experience working on large-scale consumer internet products (e.g., social, streaming, e-commerce, media)
• Hands-on experience with recommendation systems, search, NLP, or information retrieval
• Familiarity with data pipelines, feature stores, or embedding infrastructure
• Experience with experimentation platforms, A/B testing, and experimentation analysis
• Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes)
• Interest in generative AI applications and/or the media and news industry
Company:
CNN is an online broadcasting platform that offers the latest business, financial, and personal finance news. It is a sub-organization of WarnerMedia. Founded in 1980, the company is headquartered in Atlanta, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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