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Artificial Intelligence Machine Learning Engineer Jobs in Tennessee

Bespoke Labs

Machine Learning Engineer

Memphis, TN · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Memphis, TN

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Nashville, TN · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Knoxville, TN

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Chattanooga, TN · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Nashville, TN

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Jackson, TN

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Jackson, TN · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Tennessee

Artificial Intelligence Machine Learning Engineer information

See Tennessee salary details

$28.6K

$116.9K

$175.6K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for artificial intelligence machine learning engineer in Tennessee is $116,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,100.00 and $140,700.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Tennessee?

For Artificial Intelligence Machine Learning Engineer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Tennessee look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities in Tennessee with the most Artificial Intelligence Machine Learning Engineer job openings:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Tennessee as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $116,873 per year, or $56.2 per hour.

2027 - Artificial Intelligence Intern

Chattanooga, TN • On-site

Transcard Payments LLC
See more jobs at Transcard Payments LLCexternal

$13.75 - $18.25/hr

Full-time, Internship

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Job Type
Internship
Description
Who We Are:
Payments, Orchestrated.
Chattanooga-based Transcard offers comprehensive global payment orchestration solutions for banks, fintechs, and businesses. Our embedded payment solutions enable seamless transactions, collaboration, and data sharing with customers and suppliers worldwide. Features include disbursements, receivables, account-to-account payments, cross-border payments, AI insights, and supply chain financing.
Transcard's solutions combine multi-rail capabilities, embedded workflows, system of record integration, effortless reconciliation, and bank-grade security to support B2B and B2C payments for businesses of all sizes. Streamline financial operations with digital payments, monitor real-time activity, reduce fraud risk, and improve customer and vendor experience with an all-in-one payment portal.
Position Details:
Transcard offers an internship program in the FinTech industry. Our program is designed to provide you with meaningful projects utilized by the business. You'll see the direct impact of your contribution and get an inside perspective of your desired field while working alongside some of the best in our industry.
We continually strive to identify qualified individuals for post-graduate opportunities beyond the internship program.
This intern position will operate Monday-Friday during standard business hours. This position is a paid internship, compensation will be based on the qualifications of the applicant.
Our goal is to allow you to gain a better understanding of the day-to-day responsibilities within the Information Technology department while working toward your professional goals as related to your academic coursework.
Location:
Our corporate office is located in Chattanooga, TN.
We prefer our interns to be onsite in Chattanooga, TN. We do offer remote capabilities for qualified individuals. Candidate must reside in the US. We are unable to offer visa sponsorship.
Benefits:
Transcard offers benefits starting the first of the month following the month of hire for our full-time employees (Medical, Dental, & Vision, 401(k) Match!, Paid Time Off, Life-Disability Insurance, and more)
Please apply and see more job requisitions at:
https://www.transcard.com/careers
Essential Duties and Responsibilities:
The Artificial Intelligence internship will start with a one-on-one meeting with the Chief Technology Officer or your designated personnel to discuss the professional goal of your academic coursework to ensure you meet all academic requirements during the internship. Additionally, the internship will be supervised by the Senior Vice President of Technology to provide routine feedback and status updates. There will be an exit interview with the Chief Technology Officer and the Director of Human Resources for continual improvement of the program. The Artificial Intelligence internship will provide exposure to a variety of opportunities, such as: building and testing features for AI-powered applications, participation in sprint/scrum and design reviews for AI projects, and collaboration with engineering, sales, and marketing teams to translate business needs into AI-driven solutions.
• Learn and apply foundational concepts in artificial intelligence and machine learning through hands-on project work.
• Assist in developing and improving features for the company's AI-powered applications and tools.
• Help troubleshoot and resolve issues within AI-powered applications under the guidance of senior engineers.
• Support testing and quality checks on AI systems and related components to help ensure reliability and safety.
• Assist with reviewing and supporting security and access-related configurations for AI systems.
• Participate in code reviews, sprint planning, and design discussions to gain exposure to the AI development lifecycle.
• Collaborate with cross-functional teams to understand how AI features support broader business and customer needs.
Requirements
• Familiarity with Python or another programming language commonly used in AI/ML development.
• Exposure to machine learning, natural language processing (NLP), or large language model (LLM) concepts through coursework or personal projects.
• Basic understanding of version control systems (e.g., Git) and collaborative development workflows.
• Strong analytical and problem-solving skills, with the ability to troubleshoot and debug technical issues.
• Interest in responsible AI practices, including data privacy, security, and AI safety considerations.
• Ability to learn new tools, frameworks, and systems quickly in a fast-paced environment.
• Preferred: Coursework or project experience involving APIs, cloud platforms, or chatbot/conversational AI development.
• Ability to work remotely and independently from direct supervisor as needed.
• Must have great time management, communication, and organizational skills.
• Proficient in MS Word, Excel, PowerPoint, and Outlook.
Education and/or Certifications
• Completed or currently working towards a Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Machine Learning, Computer Engineering, or a related field.
• Preferred coursework: Machine Learning, Artificial Intelligence, Natural Language Processing, Data Structures & Algorithms, Statistics/Probability, Software Engineering, or Cybersecurity/Information Security.
• Preferred: Computer Engineering Technologies & Technicians.
The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be a complete list of duties performed.
Please do not contact hiring managers directly or attempt to inquire outside of the application portal. Only applications submitted through the official process will be considered.
No resumes from 3rd party vendors will be accepted at this time.

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