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 JobsBusiness Consultant – AI/ML Engineer
Location: Atlanta/Chicago
Employment Type: Contract/Permanent
Role Summary
NTT DATA's Client is seeking an experienced AI/ML Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate should have strong hands-on experience with Python, machine learning frameworks, data processing, and cloud-based AI/ML services.
The role will collaborate with data scientists, data engineers, application developers, and business stakeholders to build production-ready ML solutions and integrate AI capabilities into enterprise applications.
Day to Day Job Duties
- Design, develop, train, and deploy Machine Learning models for enterprise use cases.
- Develop data preprocessing, feature engineering, model training, and evaluation pipelines.
- Build and integrate AI/ML services with enterprise applications using APIs and Microservices.
- Evaluate ML algorithms and optimize models for accuracy, performance, and scalability.
- Develop automated ML pipelines for model training, testing, deployment, and monitoring.
- Collaborate with Data Scientists, Data Engineers, and business teams to translate requirements into AI/ML solutions.
- Implement MLOps practices for model versioning, deployment, monitoring, and lifecycle management.
- Work with structured and unstructured datasets from multiple sources.
- Monitor production models and address model performance, drift, and data-quality issues.
- Participate in code reviews, technical design discussions, and Agile delivery activities.
Basic Qualifications
- 5+ years of experience in Python development, Data Science, or Machine Learning engineering.
- 3+ years of experience developing ML solutions using Scikit-learn, TensorFlow, PyTorch, or similar frameworks.
- 3+ years of experience with data processing, feature engineering, SQL, and model development.
- 2+ years of experience deploying AI/ML solutions on AWS, Azure, or Google Cloud Platform.
Nice to Have
- Experience with Generative AI, Large Language Models (LLMs), and Agentic AI.
- Knowledge of RAG, embeddings, vector databases, and semantic search.
- Experience with LLM frameworks such as LangChain, LlamaIndex, or similar technologies.
- Experience with Azure OpenAI, Amazon Bedrock, Vertex AI, or similar AI platforms.
- Knowledge of MLOps tools and model lifecycle management.
- Experience with Docker, Kubernetes, and CI/CD pipelines.
- Familiarity with Spark, Databricks, Snowflake, or other enterprise data platforms.
- Understanding of responsible AI, model governance, security, and data privacy.
- Experience developing AI solutions within Banking, Financial Services, Healthcare, Retail, or other enterprise domains.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($60.00-$70.00/Hour). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
LI-NorthAmerica
Business Consultant – AI/ML Engineer
Location: Atlanta/Chicago
Employment Type: Contract/Permanent
Role Summary
NTT DATA's Client is seeking an experienced AI/ML Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate should have strong hands-on experience with Python, machine learning frameworks, data processing, and cloud-based AI/ML services.
The role will collaborate with data scientists, data engineers, application developers, and business stakeholders to build production-ready ML solutions and integrate AI capabilities into enterprise applications.
Day to Day Job Duties
- Design, develop, train, and deploy Machine Learning models for enterprise use cases.
- Develop data preprocessing, feature engineering, model training, and evaluation pipelines.
- Build and integrate AI/ML services with enterprise applications using APIs and Microservices.
- Evaluate ML algorithms and optimize models for accuracy, performance, and scalability.
- Develop automated ML pipelines for model training, testing, deployment, and monitoring.
- Collaborate with Data Scientists, Data Engineers, and business teams to translate requirements into AI/ML solutions.
- Implement MLOps practices for model versioning, deployment, monitoring, and lifecycle management.
- Work with structured and unstructured datasets from multiple sources.
- Monitor production models and address model performance, drift, and data-quality issues.
- Participate in code reviews, technical design discussions, and Agile delivery activities.
Basic Qualifications
- 5+ years of experience in Python development, Data Science, or Machine Learning engineering.
- 3+ years of experience developing ML solutions using Scikit-learn, TensorFlow, PyTorch, or similar frameworks.
- 3+ years of experience with data processing, feature engineering, SQL, and model development.
- 2+ years of experience deploying AI/ML solutions on AWS, Azure, or Google Cloud Platform.
Nice to Have
- Experience with Generative AI, Large Language Models (LLMs), and Agentic AI.
- Knowledge of RAG, embeddings, vector databases, and semantic search.
- Experience with LLM frameworks such as LangChain, LlamaIndex, or similar technologies.
- Experience with Azure OpenAI, Amazon Bedrock, Vertex AI, or similar AI platforms.
- Knowledge of MLOps tools and model lifecycle management.
- Experience with Docker, Kubernetes, and CI/CD pipelines.
- Familiarity with Spark, Databricks, Snowflake, or other enterprise data platforms.
- Understanding of responsible AI, model governance, security, and data privacy.
- Experience developing AI solutions within Banking, Financial Services, Healthcare, Retail, or other enterprise domains.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($60.00-$70.00/Hour). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
LI-NorthAmerica
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.