AI ML Engineering Visa Sponsorship Jobs in Tennessee
Tennessee's AI and ML engineering scene is expanding well beyond Nashville, with employers in healthcare technology, logistics, and enterprise software actively hiring. Companies like Vanderbilt University Medical Center, FedEx, and Nissan North America have sponsored technical roles in the state. Memphis and Nashville are the primary hiring hubs for international engineers seeking visa sponsorship in this field.
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Get Access To All JobsINTRODUCTION
Work Where You Matter: At Dollar General, our mission is Serving Others! We value each and every one of our employees. Whether you are looking to launch a new career in one of our many convenient Store locations, Distribution Centers, Store Support Center or with our Private Fleet Team, we are proud to provide a wide range of career opportunities. We are not just a retail company; we are a company that values the unique strengths and perspectives that each individual brings. Your difference truly makes a difference at Dollar General. How would you like to Serve? Join the Dollar General Journey and see how your career can thrive.
GENERAL SUMMARY:
This key role within Decision Science & Analytics will lead the ongoing development and execution of the Company’s product shrink and damages forecasting and mitigation efforts. This role will work collaboratively with internal business partners (such as Asset Protection, Finance, and Merchandising), internal IT resources, and the broader Decision Science organization. Day to day work will include developing and monitoring predictive and deterministic models, automating analytics processes, and deep dive ad hoc analysis to determine root causes.
DUTIES & RESPONSIBILITIES:
- Develop dynamic, productionized, and scalable models that generate ROI for both DG and their customers. These models may include predictive and time-series forecasts, store segmentations, or include geospatial components.
- Create automated, reusable analytics workflows from end-to-end: from developing and maintaining SQL/Python code to the final report or dashboard deliverable.
- Conduct open ended ad hoc analysis, including understanding the key business problem/question, translating needs into the appropriate analytics techniques, and delivering insights and recommendations to drive decisions.
- Present analytical findings and actionable insights in PowerPoint or PowerBI to stakeholders, “telling the story” with data to non-technical audience.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs):
- Strong problem-solving skills utilizing expertise, business judgment and robust quantitative analyses.
- Experience developing predictive models from scratch and moving into production environment, including model comparison/selection techniques, parameterization, error handling, and working across dev/test/prod environments.
- Identify and implement proper data preparation and feature engineering methods, such as outlier identification and removal, principal components analysis (PCA), and general data structuring.
- Experience developing code to combine, clean and prepare data for modeling using some combination of SQL, Python, and PySpark (including but not limited to pandas, numpy, scikit-Learn, matplotlib, tensor-flow).
- Proficiency with common analytical platforms, including distributed compute, such as Databricks.
- Practical experience ingesting and manipulating large volumes of data (millions of records).
- Demonstrated ability to translate complicated analytics topics and insights into easily communicable concepts to non-technical audience, including model accuracy and feature importance.
- Experience with geospatial analytics preferred.
- Experience with code management tools such as GitLab.
- Experience with retail industry preferred.
- Basic to intermediate skills with BI tools such as Tableau and PowerBI preferred.
QUALIFICATIONS
- MS in Data Science, Statistics, Economics, Computer Science, Mathematics, or related applied quantitative field preferred.
- Bachelor’s in a highly quantitative/STEM field considered with the right experience.
- 2-5 years hands-on industry (non-academic) experience in Data Science (or equivalent quantitative job title).
- Strong background in applying statistical machine learning techniques to predictive modeling and experience with Machine Learning libraries.
INTRODUCTION
Work Where You Matter: At Dollar General, our mission is Serving Others! We value each and every one of our employees. Whether you are looking to launch a new career in one of our many convenient Store locations, Distribution Centers, Store Support Center or with our Private Fleet Team, we are proud to provide a wide range of career opportunities. We are not just a retail company; we are a company that values the unique strengths and perspectives that each individual brings. Your difference truly makes a difference at Dollar General. How would you like to Serve? Join the Dollar General Journey and see how your career can thrive.
GENERAL SUMMARY:
This key role within Decision Science & Analytics will lead the ongoing development and execution of the Company’s product shrink and damages forecasting and mitigation efforts. This role will work collaboratively with internal business partners (such as Asset Protection, Finance, and Merchandising), internal IT resources, and the broader Decision Science organization. Day to day work will include developing and monitoring predictive and deterministic models, automating analytics processes, and deep dive ad hoc analysis to determine root causes.
DUTIES & RESPONSIBILITIES:
- Develop dynamic, productionized, and scalable models that generate ROI for both DG and their customers. These models may include predictive and time-series forecasts, store segmentations, or include geospatial components.
- Create automated, reusable analytics workflows from end-to-end: from developing and maintaining SQL/Python code to the final report or dashboard deliverable.
- Conduct open ended ad hoc analysis, including understanding the key business problem/question, translating needs into the appropriate analytics techniques, and delivering insights and recommendations to drive decisions.
- Present analytical findings and actionable insights in PowerPoint or PowerBI to stakeholders, “telling the story” with data to non-technical audience.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs):
- Strong problem-solving skills utilizing expertise, business judgment and robust quantitative analyses.
- Experience developing predictive models from scratch and moving into production environment, including model comparison/selection techniques, parameterization, error handling, and working across dev/test/prod environments.
- Identify and implement proper data preparation and feature engineering methods, such as outlier identification and removal, principal components analysis (PCA), and general data structuring.
- Experience developing code to combine, clean and prepare data for modeling using some combination of SQL, Python, and PySpark (including but not limited to pandas, numpy, scikit-Learn, matplotlib, tensor-flow).
- Proficiency with common analytical platforms, including distributed compute, such as Databricks.
- Practical experience ingesting and manipulating large volumes of data (millions of records).
- Demonstrated ability to translate complicated analytics topics and insights into easily communicable concepts to non-technical audience, including model accuracy and feature importance.
- Experience with geospatial analytics preferred.
- Experience with code management tools such as GitLab.
- Experience with retail industry preferred.
- Basic to intermediate skills with BI tools such as Tableau and PowerBI preferred.
QUALIFICATIONS
- MS in Data Science, Statistics, Economics, Computer Science, Mathematics, or related applied quantitative field preferred.
- Bachelor’s in a highly quantitative/STEM field considered with the right experience.
- 2-5 years hands-on industry (non-academic) experience in Data Science (or equivalent quantitative job title).
- Strong background in applying statistical machine learning techniques to predictive modeling and experience with Machine Learning libraries.
AI ML Engineering Job Roles in Tennessee
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Search AI ML Engineering Jobs in TennesseeAI ML Engineering Jobs in Tennessee: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Tennessee?
Healthcare technology firms, logistics companies, and enterprise software developers account for a significant share of AI and ML engineering sponsorships in Tennessee. Employers like HCA Healthcare, FedEx, and Vanderbilt University Medical Center have filed H-1B visa petitions for technical roles. Larger research universities in the state also sponsor ML positions tied to federally funded research programs. Sponsorship availability varies by team and hiring cycle.
Which visa types are most common for AI ML engineering roles in Tennessee?
The H-1B is the most common visa for AI and ML engineers in Tennessee, as these roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a related field. International candidates already holding OPT or STEM OPT authorization are also frequently hired, allowing employers to evaluate fit before committing to H-1B sponsorship. The O-1A is an option for engineers with exceptional publication or research records.
Which cities in Tennessee have the most AI ML engineering sponsorship jobs?
Nashville is the primary concentration point for AI and ML engineering sponsorship in Tennessee, driven by the city's healthcare technology sector and a growing number of enterprise software firms. Memphis sees activity from logistics and supply chain companies like FedEx that apply machine learning to operations. Knoxville has a smaller but notable presence linked to Oak Ridge National Laboratory and the University of Tennessee's research initiatives.
How to find ai ml engineering visa sponsorship jobs in Tennessee?
Migrate Mate filters AI and ML engineering jobs specifically by visa sponsorship availability, so you can search Tennessee roles without sorting through positions that don't offer it. The platform is built for international candidates and surfaces openings from employers who have an established history of sponsoring technical workers. Filtering by state and role on Migrate Mate gives you a faster starting point than broad searches across general job platforms.
Are there state-specific considerations for AI ML engineers pursuing sponsorship in Tennessee?
Tennessee has no state income tax on wages, which affects take-home pay relative to other tech hubs and can be relevant when evaluating total compensation. The H-1B prevailing wage requirement still applies regardless of state tax structure, and employers must certify wages meet Department of Labor standards for the specific role and location. Tennessee's lower cost of living compared to coastal tech markets also shapes how employers structure compensation packages for sponsored engineers.
What is the prevailing wage for sponsored ai ml engineering jobs in Tennessee?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.