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Machine Learning Nlp Jobs in Georgia (NOW HIRING)

Athena Technology Group

Experience with supervised and unsupervised machine learning, NLP, and network analysis * Experience maintaining and deploying JupyterHub or similar environments * Strong background in mathematics ...

Ova Technologies

AI/ML engineer

Atlanta, GA

$110K - $132K/yr

Experience with machine learning frameworks: * TensorFlow * PyTorch * Keras * Scikit-learn * Knowledge of: * Deep Learning * Natural Language Processing (NLP) * Computer Vision * Generative AI ...

Autodesk

Senior Machine Learning Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

Our mission is to help customers accomplish their goals through intelligent conversation, search, personalization, and automation, using data, machine learning, and modern NLP techniques to deliver ...

StackandCo

$48.75 - $62.25/hr

They are creating something pretty amazing and are getting their hands dirty in Machine Learning \/ NLP. \n \n \n \n \n \n This is essentially a backend development role, therefore someone who has ...

Lancesoft

Machine Learning Engineer 3 - MLENG3

Atlanta, GA · On-site

$65 - $69.42/hr

Machine Learning Engineer Atlanta, GA 30308 Pay Rate: $60.00/hr -$69.42/hr JD: * We are seeking an ... NLP pipelines for customer interaction analysis Model Engineering & Deployment * Build and fine ...

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All JobsMachine Learning Nlp JobsMachine Learning Nlp Jobs in Georgia

Machine Learning Nlp information

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$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.

What are popular job titles related to Machine Learning Nlp jobs in Georgia? For Machine Learning Nlp jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Machine Learning Nlp jobs in Georgia look for? The top searched job categories for Machine Learning Nlp jobs in Georgia are:
Machine Learning Nlp jobs near you
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.
Machine Learning Platform Engineer - Backend Services (Utah)

Machine Learning Platform Engineer - Backend Services (Utah)

Waystar

Atlanta, GA • On-site

Full-time

Posted 5 days ago

Job description

Job Summary:
Waystar is a leading company in healthcare payment solutions, seeking a Machine Learning Platform Engineer - Backend Services to enhance their platform for predictive models and data analysis. The role involves developing and maintaining machine learning frameworks, collaborating with data science teams, and ensuring the reliability of production systems.
Responsibilities:
• Develop and enhance the machine learning platform to manage the full model life cycle
• Build frameworks and tools to enable the data science team developing and enhancing predictive models, support scalable real-time predictions in production
• Design and implement data engineering solutions for model training
• Expand NLP capabilities with advanced analysis techniques to improve text understanding
• Design and implement high-performance, scalable services and applications
• Collaborate with team members to create integrated solutions and ensure timely delivery of quality software and documentation
• Understand and adhere to development standards for consistency across teams
• Perform in-depth technical and performance analyses to troubleshoot production issues
• Monitor and maintain production systems for reliability and efficiency
Qualifications:
Required:
• Bachelor’s degree in Computer Science or related area, Masters preferred
• 7+ years of professional experience writing Python or Java code, with at least 3 years building data platforms
• Expert proficiency with SQL
• NLP
• Seasoned practitioner of engineering best practices such as CI/CD and automated testing
• Comfort working in a Linux environment
• Passion for exploring, applying and following the evolution of cutting edge technologies related to AI, machine learning, NLP and large scale data processing
• Professional experience with MLOps, Docker, Kubernetes, relational databases (PostgreSQL preferred), Kafka, REST API design, and microservices application architectures
• Experience with public cloud solutions, such as AWS or GCP
• Proven track record of successful delivery of progressively complex technical projects
• Coaching and mentoring junior engineers in the team
• Team player DNA with a positive, self-starter attitude
• Attention to detail, highly organized, with an absolute focus on quality of work
Preferred:
• Familiarity with ClearML, Triton, PyTorch, and TensorFlow
• Familiarity with statistics and healthcare domain
• Proven expertise in successful large project/build management and execution
Company:
Waystar is a technology platform that provides healthcare revenue cycle management solutions. Founded in 2017, the company is headquartered in Louisville, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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