Machine Learning Visa Sponsorship Jobs in Georgia
Georgia's machine learning job market centers on Atlanta, where employers like NCR Voyix, Cox Enterprises, and Delta Air Lines sponsor work visas for ML engineers and data scientists. Georgia Tech's research pipeline and the state's growing fintech and logistics sectors create consistent demand for machine learning talent requiring H-1B visa and other visa sponsorship.
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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
Machine Learning Job Roles in Georgia
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Search Machine Learning Jobs in GeorgiaMachine Learning Jobs in Georgia: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Georgia?
Major Georgia-based employers with documented H-1B sponsorship for machine learning roles include NCR Voyix, Cox Enterprises, Delta Air Lines, and Intercontinental Exchange (ICE). Consulting firms like Deloitte and Accenture, which maintain large Atlanta offices, also sponsor ML engineers regularly. Georgia Tech's affiliated research centers and healthcare systems like Emory Healthcare and Grady Health System have hired sponsored ML talent as well.
Which visa types are most common for machine learning roles in Georgia?
The H-1B is the most common visa for machine learning roles in Georgia, as ML engineer and data scientist positions typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with advanced degrees may also be eligible for the H-1B cap exemption if employed by a university or nonprofit research institution. The O-1A is an option for applicants with demonstrated exceptional achievement in ML research or published work.
Which cities in Georgia have the most machine learning sponsorship jobs?
Atlanta accounts for the overwhelming majority of machine learning sponsorship jobs in Georgia, driven by its concentration of Fortune 500 headquarters, fintech companies, and logistics firms. Midtown Atlanta in particular has emerged as a technology hub, partly due to proximity to Georgia Tech. Smaller concentrations of ML roles exist in Alpharetta, which hosts numerous technology company offices, and in Athens near the University of Georgia.
How to find machine learning visa sponsorship jobs in Georgia?
Migrate Mate is built specifically for international candidates seeking visa sponsorship and lets you filter machine learning jobs by state, so you can focus directly on Georgia employers actively sponsoring. Because ML hiring in Georgia is concentrated in Atlanta's fintech, logistics, and enterprise technology sectors, filtering by those industries on Migrate Mate can help you target employers with established sponsorship track records rather than applying broadly.
Are there state-specific considerations for machine learning professionals seeking sponsorship in Georgia?
Georgia Tech's graduate programs produce a significant share of local ML talent, which means sponsored candidates are often competing against a deep pool of local OPT and CPT workers already embedded with Georgia employers. Employers in Georgia's fintech corridor, particularly those handling financial data, may require additional background clearances that can affect hiring timelines for sponsored workers. Prevailing wage requirements for ML roles are determined by the Department of Labor based on the specific job location and level, not by state policy.
What is the prevailing wage for sponsored machine learning 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.