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Senior Natural Language Processing Engineer Jobs in Atlanta, GA

Sumeru

Senior AI/ML Engineer

Atlanta, GA · On-site

$100K - $138K/yr

You will also contribute to LLM-based solutions that enable natural language querying of CDP data ... Strong SQL skills and experience with Spark or Dask for distributed processing * Familiarity with ...

OVA.Work

AI/ML engineer

Atlanta, GA · On-site

$110K - $132K/yr

Work is seeking a talented AI/ML Engineer to design, develop, and deploy machine learning and ... Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI concepts • ...

Infosys

Senior Technology Architect

Atlanta, GA · On-site

Drive adoption of emerging technologies including Generative AI, Natural Language Processing (NLP ... Mentor architects, developers, analysts, and engineering teams. * Drive adoption of reusable ...

Noblesoft Technologies

Senior Cloud AI Architect

Atlanta, GA · On-site

$62.50 - $79.50/hr

... designing, and programming applications to operate in AWS environments. ● Experience in ... natural language processing. ● Evaluate and recommend AI platforms, frameworks, and tools (e.g ...

Bigcommerce

Senior Backend Engineer (AI Agent)

Atlanta, GA · On-site +1

$116K - $195K/yr

As a Senior Backend Engineer specializing in AI agents, you will design the agents themselves ... Background in conversational AI or natural language processing Work Where You Thrive For candidates ...

Omnissa

Senior Data Scientist

Atlanta, GA · On-site +1

$146K - $304K/yr

  • Medical

  • Retirement

Work with engineers to design and implement scalable machine learning pipelines, covering all ... retrieval, and natural language processing (NLP). * Highly proficient in Python and working ...

Xforia, Inc.

Data Scientist

Atlanta, GA · On-site

... data, including natural language processing, text classification, sentiment analysis, or other ... programming skills in Python and experience working with version control systems (Git). • Strong ...

Manhattan Associates

Principal AI Engineer

Atlanta, GA · On-site

Principal AI Engineer is a senior technical leader responsible for designing, developing, and ... Natural Language Processing (BERT, GPT, LLM fine-tuning) * Computer Vision (YOLO, ResNet, object ...

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All JobsNatural Language Processing Engineer JobsSenior Natural Language Processing Engineer JobsSenior Natural Language Processing Engineer Jobs in Atlanta, GA

Senior Natural Language Processing Engineer information

See Atlanta, GA salary details

$72.1K

$116.5K

$164K

How much do senior natural language processing engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for senior natural language processing engineer in Atlanta, GA is $116,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $129,300.00 per year, depending on experience, location, and employer.

What is the difference between Senior Natural Language Processing Engineer vs Data Scientist?

AspectSenior Natural Language Processing EngineerData Scientist
Required CredentialsAdvanced degree in CS, NLP, or related field; experience with NLP frameworksDegree in CS, statistics, or related; data analysis skills
Work EnvironmentDevelops NLP models, algorithms, and language-specific toolsAnalyzes data, builds predictive models, visualizes insights
Employer & Industry UsageTech companies, AI startups, research institutions focusing on language techVarious industries including finance, healthcare, marketing

While both roles require strong analytical skills and programming knowledge, Senior NLP Engineers specialize in language-specific models and algorithms, whereas Data Scientists focus on broader data analysis and predictive modeling across various data types.

What are some common challenges faced by senior natural language processing engineers when deploying NLP models to production?

Senior NLP Engineers often encounter challenges such as ensuring model scalability, maintaining accuracy with real-world data, and addressing data privacy concerns. Deploying models at scale requires optimizing for speed and efficiency, as well as monitoring performance to handle domain shifts or unexpected inputs. Collaboration with DevOps and data engineering teams is crucial to integrate models seamlessly into existing pipelines and to ensure robust, maintainable solutions.

What does a senior natural language processing engineer do?

A Senior Natural Language Processing (NLP) Engineer designs and implements advanced algorithms that enable computers to understand, interpret, and generate human language. They work on tasks such as text classification, sentiment analysis, machine translation, and conversational AI. In addition to developing NLP models, they often lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and product managers to build and deploy language-based applications. Their expertise helps organizations leverage language data to solve complex problems and improve user experiences.

What are the key skills and qualifications needed to thrive as a senior natural language processing engineer, and why are they important?

To thrive as a Senior Natural Language Processing Engineer, you need a deep understanding of machine learning, linguistics, and advanced programming skills in languages like Python, typically backed by a degree in computer science or a related field. Familiarity with NLP frameworks (such as spaCy, NLTK, or Hugging Face), cloud platforms, and experience with deep learning libraries like TensorFlow or PyTorch are crucial. Strong problem-solving abilities, effective communication, and the ability to work collaboratively in multidisciplinary teams are standout soft skills. These skills and qualities are essential for developing, deploying, and refining language-based AI solutions that meet complex business and user needs.
What job categories do people searching Senior Natural Language Processing Engineer jobs in Atlanta, GA look for? The top searched job categories for Senior Natural Language Processing Engineer jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Senior Natural Language Processing Engineer jobs? Cities near Atlanta, GA with the most Senior Natural Language Processing Engineer job openings:
Senior Natural Language Processing Engineer jobs near you

Machine Learning Engineer III - AI/ML Product Engineering

4pconsultinginc

Atlanta, GA • On-site

Contractor

Posted 6 days ago

Job description

Position:         Machine Learning Engineer III – AI/ML Product Engineering

Location:        Atlanta, GA

Duration:        5 Months
Client:            Southern Company Services
 

Only W2 Candidates

Southern Company Services is seeking an experienced Machine Learning Engineer III to develop scalable, reusable, and production-grade AI products for deployment across multiple operating companies.

This role will focus on Retrieval-Augmented Generation, multi-agent systems, natural language processing, model deployment, and cloud-based AI solutions. The ideal candidate will have strong software engineering skills, hands-on AI/ML experience, and expertise with Azure or Google Cloud Platform.

Key Responsibilities

  • Design and build modular, reusable AI components and services.
  • Develop scalable RAG solutions using structured and unstructured data.
  • Engineer multi-agent systems for task coordination, workflow automation, and decision support.
  • Build transcription and NLP pipelines for customer-interaction analysis.
  • Develop and fine-tune models using PyTorch, Hugging Face Transformers, LangChain, or similar frameworks.
  • Package and deploy models using Azure Machine Learning, Google Cloud Platform, or Databricks.
  • Integrate Databricks for data ingestion, feature engineering, experimentation, and model development.
  • Develop reusable libraries, APIs, templates, and engineering patterns.
  • Partner with MLOps, DevOps, data engineering, architecture, and product teams.
  • Implement monitoring for model performance, data drift, system usage, and operational reliability.
  • Ensure AI solutions meet enterprise security, privacy, compliance, scalability, and observability requirements.
  • Provide technical guidance to teams adopting shared AI products and components.

Required Qualifications

  • Strong experience developing and deploying production-grade AI and machine learning solutions.
  • Hands-on experience with RAG architectures, LLM applications, multi-agent systems, and NLP.
  • Experience with Azure AI services, Google Cloud Platform AI services, or Azure Machine Learning.
  • Proficiency with Python and frameworks such as PyTorch, Transformers, or LangChain.
  • Experience deploying scalable models and AI services in cloud environments.
  • Knowledge of APIs, software engineering practices, model monitoring, and MLOps.
  • Experience working with structured and unstructured datasets.
  • Strong communication, collaboration, analytical, and problem-solving skills.

Preferred Qualifications

  • Experience with Databricks, vector databases, embeddings, and semantic search.
  • Experience building reusable enterprise AI platforms or shared AI services.
  • Knowledge of model evaluation, data drift, observability, and responsible AI.
  • Familiarity with CI/CD, containers, Kubernetes, and cloud-native deployment.
  • Utility, energy, or regulated-industry experience is preferred.