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Machine Learning Nlp Jobs in Georgia (NOW HIRING)

Machine Learning Engineer

Atlanta, GA · On-site

$85.92 - $130/hr

Exposure to GenAI/NLP, AutoML, model explainability * Familiarity with Databricks or similar platforms * Experience supporting high-volume, real-time data products * Automated testing and validation ...

Machine Learning, NLP, Deep Learning Required Qualifications * 10+ years of experience in software development, architecture, cloud infrastructure, and modern technologies. * Proficiency in ...

Agentic AI Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... machine learning models for classification, regression, NLP, or computer vision tasks. • Write clean, efficient, and well-documented Python code for data preprocessing, model training, and ...

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning ... Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model development.

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning ... Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model development.

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning ... Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model development.

Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...

Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...

Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...

Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...

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Showing results 1-20

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 Jul 14, 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.

Infographic showing various Machine Learning Nlp job openings in Georgia as of July 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $103,638 per year, or $49.8 per hour.
Data scientist with Python and AI/ML consultant.

Data scientist with Python and AI/ML consultant.

Accord Technologies Inc.

Alpharetta, GA • On-site

Contractor

Re-posted 11 days ago


Job description

Title: Data Scientist with Python and AI/ML consultant.
Location: Alpharetta, GA (100% onsite)
Inperson interview required
Position type; W2 contract

We are looking for a talented Data Scientist with Python and AI/ML expertise to build predictive models, deploy machine learning solutions, and deliver advanced analytics across enterprise platforms. The role focuses on transforming data into actionable business insights using modern AI techniques.

Key Responsibilities

  • Develop and deploy machine learning models using Python.

  • Perform data exploration, feature engineering, and model evaluation.

  • Build AI/ML solutions for prediction, classification, NLP, and recommendation systems.

  • Work with large datasets using SQL, Pandas, NumPy, Spark.

  • Implement deep learning models using TensorFlow / PyTorch.

  • Develop NLP pipelines using spaCy, NLTK, HuggingFace.

  • Collaborate with product and engineering teams to operationalize models (MLOps).

  • Monitor model performance and retrain as required.

  • Create dashboards and presentations for stakeholders.

  • Support experimentation and A/B testing frameworks.

Required Skills

  • Strong proficiency in Python for data science and ML.

  • Experience with Scikit-learn, TensorFlow, PyTorch.

  • Strong knowledge of statistics, probability, and linear algebra.

  • Experience with SQL and big data tools (Spark, Hadoop).

  • Hands-on experience with NLP, computer vision, or recommendation systems.

  • Knowledge of MLOps, CI/CD for ML models.

  • Experience deploying models in cloud environments (AWS/Azure/GCP).