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Language Model Jobs in Tennessee (NOW HIRING)

Experience with artificial intelligence/large language model platform features, including Skills, Model Context Protocol (MCP), Plugins, or partner-led delivery models involving systems integrators ...

Senior Data Scientist

Nashville, TN · On-site

$100K - $209K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Scientist will be responsible for statistical analyses, ML/ large language model deployment, forecasting models and lead business intelligence initiatives that impact Infrastructure ...

Senior Data Scientist

Nashville, TN · On-site

$100K - $209K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Scientist will be responsible for statistical analyses, ML/ large language model deployment, forecasting models and lead business intelligence initiatives that impact Infrastructure ...

SEO Specialist

Nashville, TN · On-site

  • Medical

... Language Model) and Generative Engine Optimization (GEO). Position Highlights * Run technical SEO audits and implement high-impact fixes. * Lead backlink outreach and build authoritative links.

Senior Data Scientist

Nashville, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Scientist will be responsible for statistical analyses, ML/ large language model deployment, forecasting models and lead business intelligence initiatives that impact Infrastructure ...

Senior Data Scientist

Nashville, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Scientist will be responsible for statistical analyses, ML/ large language model deployment, forecasting models and lead business intelligence initiatives that impact Infrastructure ...

Senior Data Scientist

Nashville, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Scientist will be responsible for statistical analyses, ML/ large language model deployment, forecasting models and lead business intelligence initiatives that impact Infrastructure ...

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Showing results 1-20

Language Model information

What is a language model?

Language models are artificial intelligence systems designed to understand, generate, and manipulate human language. They are trained on vast amounts of text data to predict the next word in a sequence, answer questions, write content, translate languages, and perform other language-related tasks. Modern language models, such as those based on deep learning, have revolutionized natural language processing by enabling more accurate and context-aware interactions between humans and machines.

What is the difference between Language Model vs Data Scientist?

AspectLanguage ModelData Scientist
Required CredentialsNone specific; knowledge of NLP and AI concepts helpfulBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentAI development teams, research labs, tech companiesBusiness, finance, healthcare, and various industries
Employer & Industry UsageUsed in AI applications, chatbots, content generationAnalyzing data, building models, providing insights

While both roles involve working with data and AI, a Language Model is an AI system designed to understand and generate human language, often developed by AI engineers. A Data Scientist analyzes data to extract insights and build predictive models, often utilizing language models as tools. Understanding the differences helps clarify career paths and job expectations in the AI and data fields.

What are the key skills and qualifications needed to thrive as a language model, and why are they important?

To thrive as a Language Model Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Experience with frameworks like TensorFlow or PyTorch, and familiarity with large-scale data processing tools, are typically required. Strong analytical thinking, collaboration, and problem-solving skills help in designing effective models and working with cross-functional teams. These capabilities are crucial for developing performant and accurate language models that meet complex real-world communication needs.

What are the common challenges faced by professionals working on language model development teams?

Professionals developing language models often encounter challenges such as managing large datasets, addressing biases in training data, and optimizing model performance while balancing computational resources. Collaboration with cross-functional teams—including data scientists, engineers, and domain experts—is essential to ensure the model's accuracy and relevance. Additionally, staying current with rapid advancements in AI research and maintaining responsible AI practices are crucial aspects of the role.

What are popular job titles related to Language Model jobs in Tennessee?

For Language Model jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Language Model jobs in Tennessee look for?

The top searched job categories for Language Model jobs in Tennessee are:

What cities in Tennessee are hiring for Language Model jobs?

Cities in Tennessee with the most Language Model job openings:

Infographic showing various Language Model job openings in Tennessee as of August 2026, with employment types broken down into 2% As Needed, 80% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution.

Generative AI Engineer (Python & SQL)

Phaxis - Technology

Nashville, TN • On-site

$150K - $170K/yr

Full-time

Medical, Dental, Vision

Re-posted 29 days ago


Job description

We are seeking a talented Generative AI Engineer with strong Python and SQL skills to join our team. In this role, you will design, develop, and deploy AI-powered solutions, including large language model (LLM) applications. You will work with both structured and unstructured data, build and maintain data pipelines, optimize SQL queries, and ensure data quality for model training and evaluation.

The ideal candidate will collaborate closely with cross-functional teams to implement AI-driven features, monitor and improve model performance, and deliver scalable, production-ready systems.


Requirements:

  • Proficiency in Python and SQL
  • Experience with generative AI or LLMs
  • Strong understanding of data pipelines and database optimization
  • Ability to work in a collaborative, fast-paced environment