AI ML Engineering Jobs in Tennessee
AI ML Engineering jobs in Tennessee are in strong and growing demand, concentrated in healthcare technology, advanced manufacturing, logistics, and financial services, with openings from entry-level data scientists through principal engineers and research leads. Nashville, Memphis, and Knoxville anchor most of the hiring, where employers like HCA Healthcare, FedEx, and Oak Ridge National Laboratory maintain significant AI and machine learning teams. The most in-demand specialties include natural language processing, computer vision, MLOps, and predictive analytics applied to clinical and supply chain problems. 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 11 AI ML Engineering Jobs in Tennessee
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Find AI ML Engineering JobsAI ML Engineering Jobs by City in Tennessee
Where Tennessee roles are concentrated, by current openings.
AI ML Engineering Job Market in Tennessee
A snapshot from current Tennessee openings, updated as new roles post.
Who's Hiring
- St. Jude Children's Research Hospital4
- Starbucks2
- Conexess2
- AutoZone1
- Dollar General1
Top Industries Hiring
- Healthcare & Medical Services4
- Food & Beverage2
- Technology & Software2
- Retail1
- Automotive1
What Tennessee Employers Look For
The qualifications that appear most often in AI ML engineering jobs across Tennessee.
- Bachelor's or master's degree in computer science, data science, or a closely related field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Experience designing, training, and deploying production machine learning models
- Familiarity with cloud ML platforms including AWS SageMaker, Azure ML, or Google Vertex AI
- Strong understanding of statistical modeling, feature engineering, and model evaluation techniques
- Experience with MLOps practices including CI/CD pipelines, model monitoring, and versioning
AI ML Engineering Jobs in Tennessee: Frequently Asked Questions
How do you become a ai ml engineering in Tennessee?
Most Tennessee employers require at least a bachelor's degree in computer science, data science, statistics, or a related engineering discipline, with a master's degree preferred for research-heavy roles. There is no state-issued license required to work as an ai ml engineering in Tennessee. Candidates strengthen their profile through portfolio projects, open-source contributions, and industry certifications from providers like AWS, Google, or NVIDIA, which carry real weight with hiring managers at Tennessee's major tech and healthcare employers.
Which companies hire ai ml engineerings in Tennessee?
Employers hiring ai ml engineerings 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 concentration of large healthcare systems, logistics companies, and federally funded research institutions at Oak Ridge means demand extends well beyond traditional tech firms.
Which Tennessee cities have the most ai ml engineering jobs?
Memphis, Nashville, and Spring Hill have the most ai ml engineering openings in Tennessee. Nashville leads because of its dense cluster of healthcare IT companies and corporate headquarters, Memphis draws demand from logistics and supply chain analytics centered around FedEx and its supplier network, and Knoxville benefits from the proximity of Oak Ridge National Laboratory and the University of Tennessee's research partnerships.
Are there remote ai ml engineering jobs in Tennessee?
Yes, and more than most fields. About 9% of ai ml engineering openings tied to Tennessee are remote or hybrid as of June 2026, reflecting how naturally the work translates to distributed teams. Model development, data pipeline work, and research roles are the most consistently remote, while on-site expectations are more common for embedded healthcare AI positions that require direct collaboration with clinical systems.
How can I get hired as a ai ml engineering in Tennessee with little or no experience?
The most realistic entry path is through a graduate degree program paired with a research assistantship, particularly at the University of Tennessee or Vanderbilt University, both of which have placed graduates directly into AI roles at Tennessee employers. FedEx and HCA Healthcare both run structured early-career and associate engineering programs for new graduates. Candidates without a graduate degree can move laterally from software engineering, data analyst, or business intelligence roles by building a public portfolio of end-to-end ML projects and earning a foundational certification such as the AWS Certified Machine Learning Specialty.
Where can I find and apply to ai ml engineering jobs in Tennessee?
You can find and apply to ai ml engineering jobs in Tennessee on Migrate Mate, which lists current openings from employers hiring in the state right now. Find the roles that fit your background and apply directly through the listings.
See All 11 AI ML Engineering Jobs in Tennessee
Find roles in Tennessee that match your experience and apply in just a few clicks.
Find AI ML Engineering Jobs