AI ML Engineer Visa Sponsorship Jobs in Tennessee
Tennessee's AI/ML engineering roles are concentrated in Nashville, Memphis, and Knoxville, with employers spanning healthcare technology firms like HCA Healthcare and Change Healthcare, logistics companies, and Oak Ridge National Laboratory's growing research programs. Vanderbilt University and the University of Tennessee also generate strong local pipelines that attract international talent seeking visa sponsorship.
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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 Engineer Job Roles in Tennessee
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Search AI ML Engineer Jobs in TennesseeAI ML Engineer Jobs in Tennessee: Frequently Asked Questions
Which companies in Tennessee sponsor visas for AI/ML engineers?
Healthcare technology is the dominant sponsoring sector in Tennessee. HCA Healthcare, Change Healthcare (now part of Optum), and Vanderbilt University Medical Center have all filed H-1B visa petitions for machine learning and data science roles. Oak Ridge National Laboratory sponsors researchers under both H-1B and J-1 visa categories. Logistics and supply chain firms headquartered in Memphis, including FedEx, also have a track record of sponsoring AI and ML engineering positions.
Which visa types are most common for AI/ML engineer roles in Tennessee?
The H-1B is the most common visa category for AI/ML engineers in Tennessee, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, mathematics, or a related field. Researchers at institutions like Oak Ridge National Laboratory may also work under O-1 visa or J-1 visas. Candidates with Canadian or Mexican citizenship may qualify for the TN visa under the NAFTA/USMCA computer systems analyst category.
Which cities in Tennessee have the most AI/ML engineer visa sponsorship jobs?
Nashville leads the state for AI/ML sponsorship activity, driven by its large healthcare IT sector and a growing startup ecosystem. Knoxville is notable for research-oriented roles tied to Oak Ridge National Laboratory and the University of Tennessee. Memphis sees sponsorship mainly through large logistics and operations firms. Smaller clusters exist in Chattanooga, which has invested in smart infrastructure and technology initiatives attracting engineering talent.
How to find ai ml engineer visa sponsorship jobs in Tennessee?
Migrate Mate is designed specifically for international job seekers and filters AI/ML engineer roles in Tennessee by visa sponsorship history, so you are not wasting time on employers unlikely to sponsor. The platform surfaces positions from healthcare tech, research institutions, and logistics firms active in Nashville, Knoxville, and Memphis. Filtering by role and state on Migrate Mate gives you a focused list of employers with a verified sponsorship track record in this field.
Are there any state-specific factors AI/ML engineers should know before pursuing sponsorship in Tennessee?
Tennessee has no state income tax on wages, which affects overall compensation packages and sometimes influences how employers structure offers, though H-1B prevailing wage requirements set by the Department of Labor still apply regardless of state tax policy. The Oak Ridge corridor creates a concentration of research-focused roles that may require security clearance eligibility, which can limit sponsorship options for some international candidates. Vanderbilt and UT Knoxville alumni networks are active hiring pipelines worth engaging early.
What is the prevailing wage for sponsored ai ml engineer 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.