AI ML Engineering Visa Sponsorship Jobs in Georgia
Georgia's AI and ML engineering job market centers on Atlanta, where companies like NCR Voyix, Delta Air Lines, and a growing cluster of fintech and cybersecurity firms actively hire for these roles. Georgia Tech's research pipeline supplies strong local talent, and the state's expanding tech corridor draws employers who routinely file H-1B visa sponsorships for specialized AI and ML positions.
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Get Access To All JobsINTRODUCTION
This role is for a hands-on lead specializing in Edge AI deployment. The successful candidate will provide specialized expertise in model optimization at the edge, robust deployment, and MLOps pipeline development. You will leverage your skills in edge optimization, system and embedded knowledge, AI/machine learning, MLOps, computer vision, innovation, and problem solving to drive advanced AI solutions.
We are seeking someone with embedded AI experience, particularly with GPUs or AI accelerators, and strong system solution knowledge for AI application deployment.
You will be part of the Forge and AI team, based in Atlanta, Georgia.
BASIC QUALIFICATIONS
- Proven experience in embedded AI with hands-on expertise in GPU or AI accelerator deployment.
- Strong skills in edge model optimization and embedded system architecture.
- Deep understanding of AI/machine learning algorithms and computer vision applications.
- Experience building and managing MLOps pipelines for AI model deployment at the edge.
- Excellent problem-solving skills and a passion for innovation in embedded AI technologies.
PREFERRED QUALIFICATIONS
- Background in system solutions with AI application deployment experience.
- Strong knowledge of embedded systems and real-time operating environments.
- Experience working in collaborative, agile environments.
- Advanced degree in Computer Science, Electrical Engineering, or related technical field preferred.
KEY RESPONSIBILITIES
- Lead hands-on development and deployment of Edge AI solutions with a focus on model optimization and performance on embedded platforms.
- Design and implement robust MLOps pipelines to support continuous integration and deployment of AI models at the edge.
- Collaborate with cross-functional teams to integrate AI applications into embedded systems using GPUs and AI accelerators.
- Provide technical leadership and mentorship in embedded AI, system architecture, and AI deployment strategies.
- Drive innovation and problem-solving initiatives to enhance AI capabilities and deployment robustness on edge devices.
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
INTRODUCTION
This role is for a hands-on lead specializing in Edge AI deployment. The successful candidate will provide specialized expertise in model optimization at the edge, robust deployment, and MLOps pipeline development. You will leverage your skills in edge optimization, system and embedded knowledge, AI/machine learning, MLOps, computer vision, innovation, and problem solving to drive advanced AI solutions.
We are seeking someone with embedded AI experience, particularly with GPUs or AI accelerators, and strong system solution knowledge for AI application deployment.
You will be part of the Forge and AI team, based in Atlanta, Georgia.
BASIC QUALIFICATIONS
- Proven experience in embedded AI with hands-on expertise in GPU or AI accelerator deployment.
- Strong skills in edge model optimization and embedded system architecture.
- Deep understanding of AI/machine learning algorithms and computer vision applications.
- Experience building and managing MLOps pipelines for AI model deployment at the edge.
- Excellent problem-solving skills and a passion for innovation in embedded AI technologies.
PREFERRED QUALIFICATIONS
- Background in system solutions with AI application deployment experience.
- Strong knowledge of embedded systems and real-time operating environments.
- Experience working in collaborative, agile environments.
- Advanced degree in Computer Science, Electrical Engineering, or related technical field preferred.
KEY RESPONSIBILITIES
- Lead hands-on development and deployment of Edge AI solutions with a focus on model optimization and performance on embedded platforms.
- Design and implement robust MLOps pipelines to support continuous integration and deployment of AI models at the edge.
- Collaborate with cross-functional teams to integrate AI applications into embedded systems using GPUs and AI accelerators.
- Provide technical leadership and mentorship in embedded AI, system architecture, and AI deployment strategies.
- Drive innovation and problem-solving initiatives to enhance AI capabilities and deployment robustness on edge devices.
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
AI ML Engineering Job Roles in Georgia
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Search AI ML Engineering Jobs in GeorgiaAI ML Engineering Jobs in Georgia: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Georgia?
Major H-1B sponsors for AI and ML engineering roles in Georgia include NCR Voyix, Delta Air Lines, Fiserv, Cox Enterprises, and a range of fintech and healthcare technology companies headquartered in or around Atlanta. Large consulting firms with Georgia offices, including Accenture, Deloitte, and Infosys, also file significant numbers of sponsorships for AI and ML positions each year.
Which visa types are most common for AI ML engineering roles in Georgia?
The H-1B is by far the most common visa for AI and ML engineering roles in Georgia, as these positions typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a related field. L-1B intracompany transferees and O-1A visas for individuals with extraordinary ability appear less frequently but are used by engineers transferring within multinational firms or with notable research credentials.
Which cities in Georgia have the most AI ML engineering sponsorship jobs?
Atlanta accounts for the overwhelming majority of AI and ML engineering visa sponsorships in Georgia, driven by its concentration of Fortune 500 headquarters, major fintech companies, and technology consultancies. Alpharetta, Norcross, and Peachtree City also see sponsorship activity, primarily from global technology companies with suburban Atlanta campuses. Outside metro Atlanta, meaningful AI and ML hiring is limited.
How to find ai ml engineering visa sponsorship jobs in Georgia?
Migrate Mate filters job listings specifically for visa sponsorship, making it straightforward to browse AI and ML engineering roles posted by Georgia employers who have a demonstrated history of filing H-1B petitions. You can narrow results by location to focus on Atlanta and surrounding metro areas, where the majority of Georgia's AI and ML sponsorship activity is concentrated across fintech, logistics, and enterprise software companies.
What should AI ML engineers know about the Georgia market before applying for sponsored roles?
Georgia Tech's strong graduate programs in machine learning and computing mean employers in Atlanta are familiar with hiring international candidates and often have established immigration support processes. H-1B prevailing wage requirements for AI and ML roles in the Atlanta metro are set by the Department of Labor and reflect the region's competitive technology market. Roles tied to federal contracts or defense work may involve additional background requirements that can complicate sponsorship for some nationalities.
What is the prevailing wage for sponsored ai ml engineering 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.