Machine Learning Engineer Visa Sponsorship Jobs in Georgia
Machine learning engineer visa sponsorship jobs in Georgia are concentrated in Atlanta, where companies like Google, NCR Voyix, and Delta Air Lines run active ML teams. The broader metro also draws demand from fintech firms and Georgia Tech's deep talent pipeline, making it one of the Southeast's strongest markets for international ML candidates.
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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 Engineer Job Roles in Georgia
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Search Machine Learning Engineer Jobs in GeorgiaMachine Learning Engineer Jobs in Georgia: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in Georgia?
Georgia's largest visa sponsors for machine learning engineers include Google's Atlanta office, NCR Voyix, Cox Enterprises, and Delta Air Lines, all of which have filed H-1B visa petitions for ML roles in recent years. Financial technology companies headquartered in Atlanta, such as Global Payments and Fiserv, also sponsor ML engineers regularly. Defense contractors near Warner Robins occasionally hire for ML roles with sponsorship as well.
Which visa types are most common for machine learning engineer roles in Georgia?
The H-1B is by far the most common visa for machine learning engineers in Georgia, as ML roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with extraordinary ability may pursue the O-1A. International students at Georgia Tech or Emory finishing STEM degrees frequently use OPT or STEM OPT extension as a bridge before their employer files an H-1B petition.
Which cities in Georgia have the most machine learning engineer sponsorship jobs?
Atlanta accounts for the overwhelming majority of machine learning engineer sponsorship jobs in Georgia, particularly in the Midtown, Buckhead, and Peachtree Corners corridors where major tech and fintech offices cluster. Alpharetta and Dunwoody, both part of the greater Atlanta metro, host technology campuses that hire ML engineers with sponsorship. Outside metro Atlanta, opportunities are limited, though Augusta and Savannah have emerging tech presences.
How to find machine learning engineer visa sponsorship jobs in Georgia?
Migrate Mate is built specifically for international candidates and filters machine learning engineer roles in Georgia by visa sponsorship willingness, saving you from sorting through listings that won't support work authorization. You can search by job title and state to surface relevant openings at Georgia-based employers with a documented history of H-1B filings. Combining Migrate Mate with direct outreach to Atlanta's fintech and tech firms tends to produce the best results for ML candidates.
Are there any Georgia-specific factors that affect machine learning engineer sponsorship hiring?
Georgia Tech's machine learning and AI programs produce a large pool of OPT-eligible candidates, which means many Atlanta employers are already familiar with sponsorship processes for ML roles. The state's growing fintech and data analytics sectors create steady demand, particularly for engineers with experience in production ML systems. Georgia does not impose state-level restrictions on H-1B sponsorship, so federal prevailing wage requirements under the Department of Labor's LCA process are the primary compliance consideration employers navigate.
What is the prevailing wage for sponsored machine learning 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.