ML Software Engineer Visa Sponsorship Jobs in Georgia
Georgia's ML software engineer hiring is anchored in Atlanta, where companies like NCR Voyix, Delta Air Lines, and Cox Enterprises run applied ML teams, alongside a growing cluster of fintech and healthtech startups. Georgia Tech's research output feeds a steady pipeline of ML talent, making the state one of the Southeast's most active markets for visa-sponsored ML engineering roles.
Find ML Software Engineer JobsOverview
Showing 5 of 468+ ML Software Engineer Jobs in Georgia with Visa Sponsorship
See all 468+ ML Software Engineer Jobs in Georgia with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Software Engineer Jobs in Georgia with Visa Sponsorship.
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
ML Software Engineer Job Roles in Georgia
See all 468+ ML Software Engineer Jobs in Georgia
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search ML Software Engineer Jobs in GeorgiaML Software Engineer Jobs in Georgia: Frequently Asked Questions
Which companies in Georgia sponsor visas for ML software engineers?
Large Atlanta-based employers with active ML teams, including NCR Voyix, Cox Enterprises, Delta Air Lines, and Equifax, have sponsored H-1B visas for ML engineering roles. Global technology firms with Georgia offices, such as Google and Microsoft, also sponsor consistently. Healthtech and fintech startups in Atlanta's Midtown and Buckhead corridors increasingly file sponsorships as ML becomes central to their product development.
Which visa types are most common for ML software engineer roles in Georgia?
The H-1B is by far the most common visa for ML software engineers in Georgia. ML engineering typically qualifies as a specialty occupation given its requirement for a bachelor's degree or higher in computer science, statistics, or a related field. Candidates with Canadian or Mexican citizenship may also be eligible for the TN visa under the USMCA, which covers computer systems analysts and related technical roles.
Which cities in Georgia have the most ML software engineer sponsorship jobs?
Atlanta accounts for the overwhelming majority of ML software engineer sponsorship activity in Georgia. Midtown Atlanta, anchored by Georgia Tech, hosts numerous ML-focused companies and research spinoffs. Alpharetta, a major technology corridor north of Atlanta, also has a concentration of enterprise software and fintech employers that hire ML engineers. Outside metro Atlanta, sponsorship opportunities are limited.
How to find ml software engineer visa sponsorship jobs in Georgia?
Migrate Mate filters job listings specifically for visa sponsorship eligibility, making it straightforward to browse ML software engineer roles in Georgia without manually screening out employers who do not sponsor. You can filter by state and role type to surface relevant openings from Atlanta-area employers in fintech, healthtech, and enterprise technology, all of which are active sectors for sponsored ML engineering positions in Georgia.
Are there Georgia-specific factors that affect ML software engineer visa sponsorship?
Georgia Tech's strong ML and AI research programs create a well-established hiring pipeline between academia and industry in Atlanta, which means many Georgia employers are experienced with international hiring and sponsorship processes. The state's lower cost of operations compared to coastal tech hubs attracts ML-intensive companies, which can translate to more available sponsorship roles. Prevailing wage requirements still apply and are determined by the specific Atlanta or metro-area wage level for each position.
What is the prevailing wage for sponsored ml software 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.