ML Engineer Visa Sponsorship Jobs in Georgia
Georgia's ML engineer job market centers on Atlanta, where financial services firms like NCR Voyix, Cox Enterprises, and Delta Air Lines actively hire for machine learning roles alongside a growing tech sector. The state's pipeline from Georgia Tech feeds strong local talent competition, making visa sponsorship a key differentiator for international candidates targeting the region.
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Get Access To All JobsINTRODUCTION
We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.
OUR CHALLENGE:
We are looking for a highly capable Technical Lead – Python & AI/ML with deep expertise in backend engineering, LLM-based applications, RAG architectures, and AI agent frameworks. You will lead the design, development, and deployment of production-grade AI systems built on Python, modern LLM tooling, retrieval engines, embeddings, and vector databases. This is a hands-on leadership role focused on building scalable and intelligent AI products.
ADDITIONAL INFORMATION
The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Alpharetta, GA is $110K-$120K /year & benefits (see below).
THE ROLE
Responsibilities:
Technical Leadership & System Architecture
- Lead the architecture and development of LLM-driven applications, AI agents, and RAG-based systems.
- Provide technical guidance, conduct code reviews, and mentor junior team members.
- Drive best practices in Python backend engineering, API development, and AI system design.
Backend Engineering (Python)
- Build and maintain backend services using FastAPI or Flask.
- Develop scalable API endpoints for AI applications, embeddings, and retrieval systems.
- Ensure backend code quality, modularity, performance, and maintainability.
LLMs, RAG, and AI Agent Development
- Build AI applications using: LangChain, LangGraph, Semantic Kernel, Haystack, LlamaIndex, AutoGen.
- Develop autonomous or semi-autonomous AI agents with tool calling and workflow graphs.
- Implement Retrieval-Augmented Generation (RAG), embedding pipelines, chunking strategies, reranking, and grounding techniques.
- Work with OpenAI SDK and other LLM providers (Anthropic, Azure OpenAI, Cohere, etc.).
- Manage prompt engineering, prompt routing, safety guardrails, and evaluation metrics.
Data & Vector Search Engineering
- Build data pipelines for indexing, embeddings, and retrieval workflows.
- Work with SQL databases (PostgreSQL, MySQL, etc.) for metadata and application storage.
- Work with vector databases such as: Redis, Postgres with pgvector, Elasticsearch, Neo4j, or others.
- Implement and optimize search workflows using FAISS or similar similarity search libraries.
MLOps, Deployment & Observability
- Deploy AI services using Docker, container orchestration, and cloud environments.
- Implement monitoring for AI behavior, performance, error rates, and retrieval accuracy.
- Set up CI/CD pipelines for backend and AI components.
- Optimize inference cost, latency, and reliability.
Cross-Functional Collaboration
- Collaborate with product, data engineering, and business teams to understand requirements.
- Translate business problems into scalable AI architectures and deliver practical solutions.
- Communicate technical decisions, trade-offs, and progress to stakeholders.
REQUIREMENTS
- Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or related fields.
- 10+ years of experience in Python backend development.
- Strong proficiency in FastAPI or Flask.
- Strong working knowledge of SQL databases (Postgres, MySQL, etc.).
- Hands-on expertise with vector databases: Redis, Postgres/pgvector, Elasticsearch, or Neo4j.
- Practical experience with FAISS for similarity search.
- Hands-on experience with modern LLM frameworks: LangChain, LangGraph, Semantic Kernel, Haystack, LlamaIndex, AutoGen.
- Strong understanding of:
- Embeddings & vector search
- RAG pipelines
- Retrieval optimization
- Chunking strategies
- Document loaders & indexing
- Experience building AI apps using OpenAI SDK or similar.
- Experience deploying APIs/services using Docker and cloud environments.
- Leadership experience: guiding teams, conducting reviews, driving architecture decisions.
WE OFFER:
- A highly competitive compensation and benefits package.
- A multinational organization with 58 offices in 21 countries and the possibility to work abroad.
- 10 days of paid annual leave (plus sick leave and national holidays).
- Maternity & paternity leave plans.
- A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
- Retirement savings plans.
- A higher education certification policy.
- Commuter benefits (varies by region).
- Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
- On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
- Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
- Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
- A flat and approachable organization.
- A truly diverse, fun-loving, and global work culture.
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT:
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
INTRODUCTION
We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.
OUR CHALLENGE:
We are looking for a highly capable Technical Lead – Python & AI/ML with deep expertise in backend engineering, LLM-based applications, RAG architectures, and AI agent frameworks. You will lead the design, development, and deployment of production-grade AI systems built on Python, modern LLM tooling, retrieval engines, embeddings, and vector databases. This is a hands-on leadership role focused on building scalable and intelligent AI products.
ADDITIONAL INFORMATION
The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Alpharetta, GA is $110K-$120K /year & benefits (see below).
THE ROLE
Responsibilities:
Technical Leadership & System Architecture
- Lead the architecture and development of LLM-driven applications, AI agents, and RAG-based systems.
- Provide technical guidance, conduct code reviews, and mentor junior team members.
- Drive best practices in Python backend engineering, API development, and AI system design.
Backend Engineering (Python)
- Build and maintain backend services using FastAPI or Flask.
- Develop scalable API endpoints for AI applications, embeddings, and retrieval systems.
- Ensure backend code quality, modularity, performance, and maintainability.
LLMs, RAG, and AI Agent Development
- Build AI applications using: LangChain, LangGraph, Semantic Kernel, Haystack, LlamaIndex, AutoGen.
- Develop autonomous or semi-autonomous AI agents with tool calling and workflow graphs.
- Implement Retrieval-Augmented Generation (RAG), embedding pipelines, chunking strategies, reranking, and grounding techniques.
- Work with OpenAI SDK and other LLM providers (Anthropic, Azure OpenAI, Cohere, etc.).
- Manage prompt engineering, prompt routing, safety guardrails, and evaluation metrics.
Data & Vector Search Engineering
- Build data pipelines for indexing, embeddings, and retrieval workflows.
- Work with SQL databases (PostgreSQL, MySQL, etc.) for metadata and application storage.
- Work with vector databases such as: Redis, Postgres with pgvector, Elasticsearch, Neo4j, or others.
- Implement and optimize search workflows using FAISS or similar similarity search libraries.
MLOps, Deployment & Observability
- Deploy AI services using Docker, container orchestration, and cloud environments.
- Implement monitoring for AI behavior, performance, error rates, and retrieval accuracy.
- Set up CI/CD pipelines for backend and AI components.
- Optimize inference cost, latency, and reliability.
Cross-Functional Collaboration
- Collaborate with product, data engineering, and business teams to understand requirements.
- Translate business problems into scalable AI architectures and deliver practical solutions.
- Communicate technical decisions, trade-offs, and progress to stakeholders.
REQUIREMENTS
- Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or related fields.
- 10+ years of experience in Python backend development.
- Strong proficiency in FastAPI or Flask.
- Strong working knowledge of SQL databases (Postgres, MySQL, etc.).
- Hands-on expertise with vector databases: Redis, Postgres/pgvector, Elasticsearch, or Neo4j.
- Practical experience with FAISS for similarity search.
- Hands-on experience with modern LLM frameworks: LangChain, LangGraph, Semantic Kernel, Haystack, LlamaIndex, AutoGen.
- Strong understanding of:
- Embeddings & vector search
- RAG pipelines
- Retrieval optimization
- Chunking strategies
- Document loaders & indexing
- Experience building AI apps using OpenAI SDK or similar.
- Experience deploying APIs/services using Docker and cloud environments.
- Leadership experience: guiding teams, conducting reviews, driving architecture decisions.
WE OFFER:
- A highly competitive compensation and benefits package.
- A multinational organization with 58 offices in 21 countries and the possibility to work abroad.
- 10 days of paid annual leave (plus sick leave and national holidays).
- Maternity & paternity leave plans.
- A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
- Retirement savings plans.
- A higher education certification policy.
- Commuter benefits (varies by region).
- Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
- On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
- Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
- Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
- A flat and approachable organization.
- A truly diverse, fun-loving, and global work culture.
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT:
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
ML Engineer Job Roles in Georgia
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Search ML Engineer Jobs in GeorgiaML Engineer Jobs in Georgia: Frequently Asked Questions
Which companies sponsor visas for ML engineers in Georgia?
Several large employers in Georgia have established H-1B sponsorship histories for ML engineer roles. NCR Voyix, Cox Enterprises, Delta Air Lines, and Home Depot have all filed Labor Condition Applications for machine learning and data science positions in the Atlanta metro area. Global consulting firms with Georgia offices, including Accenture and Cognizant, also regularly sponsor ML engineers through H-1B petitions.
Which visa types are most common for ML engineer roles in Georgia?
The H-1B is by far the most common visa for ML engineers in Georgia, as machine learning roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, mathematics, or a related field. Canadian and Mexican nationals may qualify for the TN visa under the 'Computer Systems Analyst' category. Candidates with exceptional research credentials may also explore the O-1A.
Which cities in Georgia have the most ML engineer sponsorship jobs?
Atlanta accounts for the overwhelming majority of ML engineer visa sponsorship jobs in Georgia. The city's concentration of Fortune 500 headquarters, fintech companies, and large tech operations drives most LCA filings in the state. Alpharetta and Dunwoody, both in the Atlanta metro, also host significant tech employer presence. Outside the metro area, opportunities are considerably more limited.
How to find ml engineer visa sponsorship jobs in Georgia?
Migrate Mate is a purpose-built job board that filters specifically for visa sponsorship opportunities, including ML engineer roles in Georgia. Rather than manually checking company career pages or sorting through unfiltered listings, you can browse Georgia-specific ML engineer openings where sponsorship is already confirmed. Migrate Mate's filters let you narrow by role type and state, which saves significant time for international candidates focused on the Atlanta market.
Are there state-specific considerations for ML engineers pursuing sponsorship in Georgia?
Georgia Tech's strong computer science and machine learning programs create a competitive local talent pool, which means sponsored candidates often need to demonstrate specialization, particularly in areas like NLP, computer vision, or MLOps, to stand out. Georgia has no state income tax on wages, which affects prevailing wage comparisons. Employers must still meet DOL prevailing wage requirements for the specific Atlanta or Georgia metro area when filing an LCA.
What is the prevailing wage for sponsored ml 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.
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