AI Data Engineer Visa Sponsorship Jobs in Georgia
Georgia's AI data engineer job market centers on Atlanta, where financial services firms like NCR Voyix and Cox Enterprises, alongside Delta Air Lines and major consulting practices, drive consistent demand. The state's growing technology sector and Georgia Tech's engineering pipeline make it an active market for international candidates seeking visa sponsorship in AI and data engineering.
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HD Supply is seeking a Graduate Intern, Artificial Intelligence & Data Science to support strategic initiatives that leverage advanced analytics, machine learning, and artificial intelligence to drive business performance and innovation across the enterprise.
As one of the largest industrial distributors in North America, HD Supply relies on data-driven decision-making to optimize customer experiences, supply chain operations, inventory management, pricing, forecasting, and enterprise processes. This internship provides an opportunity for graduate students to apply advanced analytical and technical skills to real-world business challenges while working alongside experienced data scientists, AI practitioners, engineers, and business leaders.
The Graduate AI & Data Science Intern will contribute to projects involving predictive analytics, machine learning models, generative AI, intelligent automation, large language models (LLMs), agentic AI, and decision-support solutions. Interns will gain exposure to enterprise-scale datasets, cloud-based analytical environments, and the practical application of AI technologies within a large, complex organization.
This internship is designed for graduate-level talent seeking hands-on experience translating advanced analytics and AI concepts into measurable business outcomes.
Key Responsibilities
- Analyze large and complex datasets to identify trends, opportunities, and business insights.
- Support the development, testing, and refinement of machine learning and AI models.
- Assist in data preparation, feature engineering, model evaluation, and performance monitoring.
- Develop visualizations, dashboards, reports, and presentations to communicate findings.
- Partner with business stakeholders to understand challenges and translate them into analytical solutions.
- Contribute to Generative AI and Agentic AI initiatives focused on automation and productivity.
- Document methodologies, assumptions, findings, and recommendations.
- Present project outcomes and insights to technical and non-technical audiences.
Required Qualifications
- Currently pursuing a Master's degree in Data Science, Analytics, Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, or a related quantitative field.
- Anticipated graduation date of December 2027 or May 2028.
- Demonstrated academic experience in machine learning, artificial intelligence, predictive analytics, statistical modeling, or advanced data analysis.
- Proficiency in Python, SQL, or other analytical programming languages.
- Strong analytical, quantitative, and problem-solving skills.
- Strong written and verbal communication skills with the ability to explain complex concepts to diverse audiences.
- Ability to work independently and collaboratively in a team environment.
Preferred Qualifications
- Previous full-time professional work experience, internship experience, or relevant industry experience in analytics, data science, software engineering, artificial intelligence, machine learning, or a related field.
- Experience developing machine learning models or AI solutions through academic research, professional work, internships, or personal projects.
- Experience with cloud platforms such as Azure, AWS, or Google Cloud.
- Familiarity with large language models (LLMs), generative AI frameworks, or agentic AI applications.
- Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
- Exposure to MLOps, model monitoring, experimentation frameworks, or deployment practices.
- Experience working with large-scale datasets and advanced statistical techniques.
Job Summary
Gain hands-on experience in areas such as marketing, human resources, information technology, sales, operations, finance, logistics, business development, merchandising, and/or other departments.
Major Tasks, Responsibilities, and Key Accountabilities
- Prepares and delivers insights and recommendations based on analyses.
- Produces findings and draws conclusions from analyses. Makes oral and written recommendations to management.
- Executes tasks directly related to functional projects and/or process improvements.
- Communicates issues and roadblocks related to areas of responsibility.
- May assist in research or special projects in a variety of areas in order to fulfill business initiatives and meet business objectives.
Nature and Scope
- Works in compliance with established procedures and/or protocols. Identifies and resolves readily identifiable, clearly defined problems. Demonstrates skill in data analysis and techniques by resolving missing/incomplete information and inconsistencies/anomalies in routine research/data.
- Nature of work requires general supervision; exercises judgment. May be paired with a mentor. Work typically involves regular process checks or review of output by a coworker and/or supervisor.
- May provide general guidance/direction to or train junior level support personnel.
Work Environment
- Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
- Frequent periods are spent standing or sitting in the same location with some opportunity to move about. Occasionally there may be a requirement to stoop or lift light material or equipment (typically less than 8 pounds).
- Typically requires overnight travel less than 10% of the time.
Education and Experience
- Typically requires BS/BA in a related discipline. Certification may be required in some areas. Generally 0-2 years of experience in a related field OR MS/MA and generally 0-1 year of experience in a related field.
Our Goals for Diversity, Equity, and Inclusion
We are committed to creating a culture that promotes equity, respect, and advocacy for every HD Supply associate. We value the diversity of our people.
Equal Employment Opportunity
HD Supply is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
About the Role
HD Supply is seeking a Graduate Intern, Artificial Intelligence & Data Science to support strategic initiatives that leverage advanced analytics, machine learning, and artificial intelligence to drive business performance and innovation across the enterprise.
As one of the largest industrial distributors in North America, HD Supply relies on data-driven decision-making to optimize customer experiences, supply chain operations, inventory management, pricing, forecasting, and enterprise processes. This internship provides an opportunity for graduate students to apply advanced analytical and technical skills to real-world business challenges while working alongside experienced data scientists, AI practitioners, engineers, and business leaders.
The Graduate AI & Data Science Intern will contribute to projects involving predictive analytics, machine learning models, generative AI, intelligent automation, large language models (LLMs), agentic AI, and decision-support solutions. Interns will gain exposure to enterprise-scale datasets, cloud-based analytical environments, and the practical application of AI technologies within a large, complex organization.
This internship is designed for graduate-level talent seeking hands-on experience translating advanced analytics and AI concepts into measurable business outcomes.
Key Responsibilities
- Analyze large and complex datasets to identify trends, opportunities, and business insights.
- Support the development, testing, and refinement of machine learning and AI models.
- Assist in data preparation, feature engineering, model evaluation, and performance monitoring.
- Develop visualizations, dashboards, reports, and presentations to communicate findings.
- Partner with business stakeholders to understand challenges and translate them into analytical solutions.
- Contribute to Generative AI and Agentic AI initiatives focused on automation and productivity.
- Document methodologies, assumptions, findings, and recommendations.
- Present project outcomes and insights to technical and non-technical audiences.
Required Qualifications
- Currently pursuing a Master's degree in Data Science, Analytics, Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, or a related quantitative field.
- Anticipated graduation date of December 2027 or May 2028.
- Demonstrated academic experience in machine learning, artificial intelligence, predictive analytics, statistical modeling, or advanced data analysis.
- Proficiency in Python, SQL, or other analytical programming languages.
- Strong analytical, quantitative, and problem-solving skills.
- Strong written and verbal communication skills with the ability to explain complex concepts to diverse audiences.
- Ability to work independently and collaboratively in a team environment.
Preferred Qualifications
- Previous full-time professional work experience, internship experience, or relevant industry experience in analytics, data science, software engineering, artificial intelligence, machine learning, or a related field.
- Experience developing machine learning models or AI solutions through academic research, professional work, internships, or personal projects.
- Experience with cloud platforms such as Azure, AWS, or Google Cloud.
- Familiarity with large language models (LLMs), generative AI frameworks, or agentic AI applications.
- Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
- Exposure to MLOps, model monitoring, experimentation frameworks, or deployment practices.
- Experience working with large-scale datasets and advanced statistical techniques.
Job Summary
Gain hands-on experience in areas such as marketing, human resources, information technology, sales, operations, finance, logistics, business development, merchandising, and/or other departments.
Major Tasks, Responsibilities, and Key Accountabilities
- Prepares and delivers insights and recommendations based on analyses.
- Produces findings and draws conclusions from analyses. Makes oral and written recommendations to management.
- Executes tasks directly related to functional projects and/or process improvements.
- Communicates issues and roadblocks related to areas of responsibility.
- May assist in research or special projects in a variety of areas in order to fulfill business initiatives and meet business objectives.
Nature and Scope
- Works in compliance with established procedures and/or protocols. Identifies and resolves readily identifiable, clearly defined problems. Demonstrates skill in data analysis and techniques by resolving missing/incomplete information and inconsistencies/anomalies in routine research/data.
- Nature of work requires general supervision; exercises judgment. May be paired with a mentor. Work typically involves regular process checks or review of output by a coworker and/or supervisor.
- May provide general guidance/direction to or train junior level support personnel.
Work Environment
- Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
- Frequent periods are spent standing or sitting in the same location with some opportunity to move about. Occasionally there may be a requirement to stoop or lift light material or equipment (typically less than 8 pounds).
- Typically requires overnight travel less than 10% of the time.
Education and Experience
- Typically requires BS/BA in a related discipline. Certification may be required in some areas. Generally 0-2 years of experience in a related field OR MS/MA and generally 0-1 year of experience in a related field.
Our Goals for Diversity, Equity, and Inclusion
We are committed to creating a culture that promotes equity, respect, and advocacy for every HD Supply associate. We value the diversity of our people.
Equal Employment Opportunity
HD Supply is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
AI Data Engineer Job Roles in Georgia
See all 486+ AI Data Engineer Jobs in Georgia
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Search AI Data Engineer Jobs in GeorgiaAI Data Engineer Jobs in Georgia: Frequently Asked Questions
Which companies in Georgia sponsor visas for AI data engineers?
Large employers with established immigration programs are the most active sponsors. In Georgia, that includes NCR Voyix, Cox Enterprises, Delta Air Lines, Equifax, and Georgia-Pacific, along with major consulting firms like Deloitte and Accenture that maintain Atlanta offices. Technology subsidiaries of financial services companies have also filed H-1B visa petitions for AI and data engineering roles consistently in recent years.
Which visa types are most common for AI data engineer roles in Georgia?
The H-1B is the most common visa category for AI data engineers in Georgia, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, data science, or a closely related field. Candidates with an approved EB-2 or EB-3 immigrant petition may also work under employment authorization. Australians may qualify for the E-3 visa, which has no lottery.
How to find ai data engineer visa sponsorship jobs in Georgia?
Migrate Mate filters job listings specifically for roles where employers have a documented history of visa sponsorship, which saves significant time compared to applying broadly. For AI data engineer positions in Georgia, you can search by state on Migrate Mate to surface openings at Atlanta-based employers in technology, financial services, and logistics, which are the sectors most actively hiring for this role in the state.
Which cities in Georgia have the most AI data engineer sponsorship jobs?
Atlanta accounts for the overwhelming majority of AI data engineer sponsorship opportunities in Georgia. The city's concentration of Fortune 500 headquarters, financial technology companies, and large consulting offices creates consistent demand. Smaller tech presences exist in Alpharetta, which hosts numerous technology company offices, and Savannah, though sponsorship activity outside the Atlanta metro is considerably lower.
Are there any Georgia-specific considerations for AI data engineers pursuing visa sponsorship?
Georgia Tech in Atlanta produces a strong local talent pipeline, which means sponsored candidates benefit from aligning their skills with emerging specializations like machine learning infrastructure, real-time data pipelines, and LLM integration rather than general data engineering. Employers filing H-1B petitions in Georgia must comply with Department of Labor prevailing wage requirements for the Atlanta metro area, which are publicly searchable through DOL disclosure data.
What is the prevailing wage for sponsored ai data engineer jobs in Georgia?
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.