AI ML Engineer Jobs in Tennessee
AI ML Engineer jobs in Tennessee are in strong and growing demand, with openings concentrated in healthcare technology, logistics, advanced manufacturing, and financial services from entry-level data science associates through principal engineers and research leads. Nashville, Knoxville, and Memphis anchor most of the hiring, where established employers like HCA Healthcare, FedEx, and Oak Ridge National Laboratory maintain active AI and machine learning teams. The most sought-after specialties in Tennessee include natural language processing, computer vision, MLOps, and predictive analytics for healthcare and supply chain applications. Find a role that fits below and apply directly.
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INTRODUCTION
At AutoZone, our Data Science team drives data-driven decision-making with a team of passionate and skilled data scientists. We focus on uncovering insights and creating innovative solutions to enhance our systems and services. We prioritize continuous learning, providing access to cutting-edge tools, technologies, and professional development opportunities. Collaboration is key, as we work closely with cross-functional teams to integrate data insights across the business. Our effective communicators translate complex data into actionable recommendations, leveraging teamwork to tackle challenges and deliver impactful solutions that drive AutoZone's success.
ROLE AND RESPONSIBILITIES
- Lead and Inspire: Guide a team of data scientists to tackle AutoZone’s most pressing challenges.
- Collaborate and Strategize: Work closely with leaders to understand needs, develop directives, and manage projects.
- Stakeholder Collaboration: Work with various departments to understand their data needs and present findings to senior management.
- Innovate with Data: Build predictive models using machine learning and other techniques to support new initiatives.
- Analyze and Explore: Validate, manipulate, and perform exploratory data analysis on large datasets.
- Utilize Cutting-Edge Tools: Work with Python, SAS, and other analytic computing environments to handle big data.
- Research and Develop: Create innovative statistical models for data analysis.
- Communicate Insights: Present findings to stakeholders and leadership, including the executive committee.
- Drive Business Processes: Implement analytics for smarter business processes and meaningful insights.
- Stay Current: Keep the team updated with the latest technical and industry developments.
- Strategize Data Integration: Identify and integrate new datasets to leverage system capabilities.
- Execute Experiments: Conduct analytical experiments to solve problems and make impactful decisions.
- Mine Data: Identify relevant data sources, collect large datasets, and perform data mining.
- Develop Algorithms: Create algorithms and models to mine big data, improve models, and ensure data accuracy.
- Analyze Trends: Interpret data for trends and patterns with clear objectives.
- Collaborate for Implementation: Work with software developers and machine learning engineers to implement models into production.
- Project Management: Develop and manage project plans, ensuring timely delivery and alignment with business goals.
BASIC QUALIFICATIONS
- Experience: 10+ years in data science and 2+ years in project management.
- Technical Skills: Proficiency in data mining, mathematics, statistical analysis, pattern recognition, and predictive modeling.
- Tool Proficiency: Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (Java, R, Python, SAS).
- Dynamic Environment: Comfort working in a research-oriented group with multiple concurrent projects.
PREFERRED QUALIFICATIONS
- Educational Background: Bachelor’s degree in statistics, applied mathematics, economics, or related discipline; Master’s degree preferred.
Since opening our first store in 1979, AutoZone has grown into a leading retailer and distributor of automotive parts and accessories across the Americas. Our customer-first mindset and commitment to Going the Extra Mile define who we are, for both our customers and AutoZoners. Working at AutoZone means being part of a team that values dedication, teamwork, and growth. Whether you're helping customers or building your career, we provide tools and support to help you succeed and drive your future.
BENEFITS AT AUTOZONE
AutoZone offers thoughtful benefits programs with one-on-one benefits guidance designed to improve AutoZoners’ physical, mental and financial well-being.
All AutoZoners (Full-Time and Part-Time):
- Competitive pay
- Unrivaled company culture
- Medical, dental and vision plans
- Exclusive discounts and perks, including an AutoZone in-store discount
- 401(k) with company match and Stock Purchase Plan
- AutoZoners Living Well Program for free mental health support
- Opportunities for career growth
Additional Benefits for Full-Time AutoZoners:
- Paid time off
- Life, and short- and long-term disability insurance options
- Health Savings and Flexible Spending Accounts with wellness rewards
- Tuition reimbursement
Minimum age requirements may apply. Eligibility and waiting period requirements may apply; benefits for AutoZoners in Puerto Rico, Hawaii, or the U.S. Virgin Islands may differ. Learn more about all that AutoZone has to offer at Careers.AutoZone.com.
We proudly support Veterans, Active-duty Service Members, Reservists, National Guard and Military Families. Your experience is highly valued, and we encourage you to apply to join our team.
ONLINE APPLICATION
An online application is required. Click the Apply button to complete your application. For step-by-step instructions on how to apply visit careers.autozone.com/candidateresources.
AutoZone, and its subsidiary, ALLDATA are equal opportunity employers. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or any other legally protected categories.
INTRODUCTION
At AutoZone, our Data Science team drives data-driven decision-making with a team of passionate and skilled data scientists. We focus on uncovering insights and creating innovative solutions to enhance our systems and services. We prioritize continuous learning, providing access to cutting-edge tools, technologies, and professional development opportunities. Collaboration is key, as we work closely with cross-functional teams to integrate data insights across the business. Our effective communicators translate complex data into actionable recommendations, leveraging teamwork to tackle challenges and deliver impactful solutions that drive AutoZone's success.
ROLE AND RESPONSIBILITIES
- Lead and Inspire: Guide a team of data scientists to tackle AutoZone’s most pressing challenges.
- Collaborate and Strategize: Work closely with leaders to understand needs, develop directives, and manage projects.
- Stakeholder Collaboration: Work with various departments to understand their data needs and present findings to senior management.
- Innovate with Data: Build predictive models using machine learning and other techniques to support new initiatives.
- Analyze and Explore: Validate, manipulate, and perform exploratory data analysis on large datasets.
- Utilize Cutting-Edge Tools: Work with Python, SAS, and other analytic computing environments to handle big data.
- Research and Develop: Create innovative statistical models for data analysis.
- Communicate Insights: Present findings to stakeholders and leadership, including the executive committee.
- Drive Business Processes: Implement analytics for smarter business processes and meaningful insights.
- Stay Current: Keep the team updated with the latest technical and industry developments.
- Strategize Data Integration: Identify and integrate new datasets to leverage system capabilities.
- Execute Experiments: Conduct analytical experiments to solve problems and make impactful decisions.
- Mine Data: Identify relevant data sources, collect large datasets, and perform data mining.
- Develop Algorithms: Create algorithms and models to mine big data, improve models, and ensure data accuracy.
- Analyze Trends: Interpret data for trends and patterns with clear objectives.
- Collaborate for Implementation: Work with software developers and machine learning engineers to implement models into production.
- Project Management: Develop and manage project plans, ensuring timely delivery and alignment with business goals.
BASIC QUALIFICATIONS
- Experience: 10+ years in data science and 2+ years in project management.
- Technical Skills: Proficiency in data mining, mathematics, statistical analysis, pattern recognition, and predictive modeling.
- Tool Proficiency: Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (Java, R, Python, SAS).
- Dynamic Environment: Comfort working in a research-oriented group with multiple concurrent projects.
PREFERRED QUALIFICATIONS
- Educational Background: Bachelor’s degree in statistics, applied mathematics, economics, or related discipline; Master’s degree preferred.
Since opening our first store in 1979, AutoZone has grown into a leading retailer and distributor of automotive parts and accessories across the Americas. Our customer-first mindset and commitment to Going the Extra Mile define who we are, for both our customers and AutoZoners. Working at AutoZone means being part of a team that values dedication, teamwork, and growth. Whether you're helping customers or building your career, we provide tools and support to help you succeed and drive your future.
BENEFITS AT AUTOZONE
AutoZone offers thoughtful benefits programs with one-on-one benefits guidance designed to improve AutoZoners’ physical, mental and financial well-being.
All AutoZoners (Full-Time and Part-Time):
- Competitive pay
- Unrivaled company culture
- Medical, dental and vision plans
- Exclusive discounts and perks, including an AutoZone in-store discount
- 401(k) with company match and Stock Purchase Plan
- AutoZoners Living Well Program for free mental health support
- Opportunities for career growth
Additional Benefits for Full-Time AutoZoners:
- Paid time off
- Life, and short- and long-term disability insurance options
- Health Savings and Flexible Spending Accounts with wellness rewards
- Tuition reimbursement
Minimum age requirements may apply. Eligibility and waiting period requirements may apply; benefits for AutoZoners in Puerto Rico, Hawaii, or the U.S. Virgin Islands may differ. Learn more about all that AutoZone has to offer at Careers.AutoZone.com.
We proudly support Veterans, Active-duty Service Members, Reservists, National Guard and Military Families. Your experience is highly valued, and we encourage you to apply to join our team.
ONLINE APPLICATION
An online application is required. Click the Apply button to complete your application. For step-by-step instructions on how to apply visit careers.autozone.com/candidateresources.
AutoZone, and its subsidiary, ALLDATA are equal opportunity employers. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or any other legally protected categories.
See All 12 AI ML Engineer Jobs in Tennessee
Find roles in Tennessee that match your experience and apply in just a few clicks.
Find AI ML Engineer JobsAI ML Engineer Jobs by City in Tennessee
Where Tennessee roles are concentrated, by current openings.
AI ML Engineer Job Market in Tennessee
A snapshot from current Tennessee openings, updated as new roles post.
Who's Hiring
- St. Jude Children's Research Hospital4
- Starbucks3
- Conexess2
- AutoZone1
- Dollar General1
Top Industries Hiring
- Healthcare & Medical Services4
- Food & Beverage3
- Technology & Software2
- Retail1
- Automotive1
What Tennessee Employers Look For
The qualifications that appear most often in AI ML engineer jobs across Tennessee.
- Bachelor's or master's degree in computer science, mathematics, or a related technical field
- Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience building, training, and deploying end-to-end machine learning models in production environments
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment and data pipelines
- Strong understanding of statistical modeling, data preprocessing, and feature engineering techniques
- Ability to communicate model performance and findings clearly to both technical and non-technical stakeholders
AI ML Engineer Jobs in Tennessee: Frequently Asked Questions
How do you become a ai ml engineer in Tennessee?
There is no state-issued license required to work as an ai ml engineer in Tennessee. Most employers hire candidates who hold a bachelor's or master's degree in computer science, data science, statistics, or electrical engineering. Building a portfolio of projects demonstrating model development and deployment is essential. Tennessee's strong presence in healthcare IT and logistics means specializations in those domains are particularly valued by in-state hiring teams.
Which companies hire ai ml engineers in Tennessee?
Employers hiring ai ml engineers in Tennessee right now include St. Jude Children's Research Hospital, Starbucks, and Conexess, based on current listings on Migrate Mate as of June 2026. Tennessee's anchor institutions in healthcare, government research, and logistics create consistent demand for engineers who can apply machine learning to large, complex datasets in regulated industries.
Which Tennessee cities have the most ai ml engineer jobs?
Memphis, Nashville, and Spring Hill have the most ai ml engineer openings in Tennessee. Nashville leads because of its large healthcare technology ecosystem anchored by companies like HCA Healthcare and Vanderbilt University Medical Center, while Knoxville benefits from proximity to Oak Ridge National Laboratory and University of Tennessee research initiatives, and Memphis draws demand from logistics and supply chain operations centered around FedEx and its regional partners.
Are there remote ai ml engineer jobs in Tennessee?
Yes, and more than most fields. About 8% of ai ml engineer openings tied to Tennessee are remote or hybrid as of June 2026, reflecting how naturally desk-based and tool-driven this work is. Model development, experimentation, and data pipeline work are the portions of the role most commonly performed fully remote, while on-site or hybrid arrangements are more typical when close collaboration with product or clinical teams is required.
How can I get hired as a ai ml engineer in Tennessee with little or no experience?
The most realistic entry path is through a junior data scientist or machine learning associate role, where Tennessee employers in healthcare IT and logistics frequently hire candidates with strong academic projects and a demonstrable portfolio. Vanderbilt University and the University of Tennessee produce graduates who land first roles through research partnerships with Oak Ridge National Laboratory and Nashville-area health tech firms. Building experience with cloud certifications and contributing to open-source projects strengthens an application considerably.
Where can I find and apply to ai ml engineer jobs in Tennessee?
You can find and apply to ai ml engineer jobs in Tennessee on Migrate Mate, which lists current openings from employers actively hiring across the state. Search the available roles, identify the ones that match your background and target location, and apply directly to each position without creating an account or signing up.
See All 12 AI ML Engineer Jobs in Tennessee
Find roles in Tennessee that match your experience and apply in just a few clicks.
Find AI ML Engineer Jobs