ML Engineer Jobs in Georgia
ML Engineer jobs in Georgia are concentrated in Atlanta's technology corridor and research institutions, with active hiring from entry-level to senior positions across fintech, logistics, healthcare AI, and defense sectors. Atlanta, Alpharetta, and Marietta are the busiest hiring metros, home to major employers like NCR Voyix, Delta Air Lines, and Equifax, all of which maintain long-standing ML and data science teams in the state. The most in-demand specialties include natural language processing, computer vision, and MLOps engineering. Find a role that fits below and apply directly.
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Showing 5 of 13+ ML Engineer jobs
INTRODUCTION
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Edge ML Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Job Summary
We are looking for an Edge ML Engineer to design, optimize, and deploy machine learning models that run efficiently on resource-constrained edge devices, including mobile platforms, embedded systems, and specialized accelerators. The role requires deep expertise in model compression, quantization, and hardware-aware optimization, along with strong systems engineering skills to ship reliable AI capabilities outside the data center. The ideal candidate has shipped edge AI in production environments where compute, memory, energy, and connectivity constraints fundamentally shape the engineering trade-offs.
BASIC QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
- Six or more years of experience in ML engineering, with significant work on edge or mobile AI
- Strong proficiency in Python and C++
- Hands-on experience with model compression, quantization, and pruning techniques
- Experience with at least one major edge inference framework
- Solid understanding of mobile and embedded hardware architectures
- Experience deploying ML models to production on mobile or embedded platforms
- Strong performance engineering and profiling skills
- Familiarity with on-device privacy and security considerations
- Strong communication and cross-functional collaboration skills
PREFERRED QUALIFICATIONS
- Experience with custom NPU or DSP toolchains
- Familiarity with federated learning or on-device personalization
- Exposure to safety-critical or industrial edge deployments
- Open-source contributions to edge AI frameworks
- Experience optimizing LLMs for on-device inference
HOW TO APPLY
Would you like to know more about this opportunity? For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
INTRODUCTION
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Edge ML Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Job Summary
We are looking for an Edge ML Engineer to design, optimize, and deploy machine learning models that run efficiently on resource-constrained edge devices, including mobile platforms, embedded systems, and specialized accelerators. The role requires deep expertise in model compression, quantization, and hardware-aware optimization, along with strong systems engineering skills to ship reliable AI capabilities outside the data center. The ideal candidate has shipped edge AI in production environments where compute, memory, energy, and connectivity constraints fundamentally shape the engineering trade-offs.
BASIC QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
- Six or more years of experience in ML engineering, with significant work on edge or mobile AI
- Strong proficiency in Python and C++
- Hands-on experience with model compression, quantization, and pruning techniques
- Experience with at least one major edge inference framework
- Solid understanding of mobile and embedded hardware architectures
- Experience deploying ML models to production on mobile or embedded platforms
- Strong performance engineering and profiling skills
- Familiarity with on-device privacy and security considerations
- Strong communication and cross-functional collaboration skills
PREFERRED QUALIFICATIONS
- Experience with custom NPU or DSP toolchains
- Familiarity with federated learning or on-device personalization
- Exposure to safety-critical or industrial edge deployments
- Open-source contributions to edge AI frameworks
- Experience optimizing LLMs for on-device inference
HOW TO APPLY
Would you like to know more about this opportunity? For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
See All 13 ML Engineer Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
Find ML Engineer JobsML Engineer Jobs by City in Georgia
Where Georgia roles are concentrated, by current openings.
ML Engineer Job Market in Georgia
A snapshot from current Georgia openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
What Georgia Employers Look For
The qualifications that appear most often in ML engineer jobs across Georgia.
- Bachelor's or master's degree in computer science, mathematics, or a related quantitative field
- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience designing, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms including AWS, Google Cloud, or Azure for model deployment
- Strong understanding of data pipelines, feature engineering, and model evaluation techniques
- Ability to communicate model results and trade-offs clearly to non-technical stakeholders
ML Engineer Jobs in Georgia: Frequently Asked Questions
How do you become a ml engineer in Georgia?
There is no state-issued license required to work as an ml engineer in Georgia. Most employers expect a bachelor's degree in computer science, statistics, or a related field, though many Georgia technology employers and research universities also hire candidates with strong portfolios demonstrating applied ML work. Graduate programs at Georgia Tech and Georgia State produce a large share of local ML talent, and completing a capstone project or open-source contribution is often the deciding factor for competitive roles.
Which companies hire ml engineers in Georgia?
Employers hiring ml engineers in Georgia right now include FanDuel, Capgemini, and TaxSlayer, based on current listings on Migrate Mate as of November 2026. Georgia's concentration of Fortune 500 headquarters in Atlanta, alongside a growing defense and logistics technology sector, means demand comes from a wide range of established companies beyond pure technology firms.
Which Georgia cities have the most ml engineer jobs?
Atlanta, Georgia, and Augusta have the most ml engineer openings in Georgia. Atlanta drives the majority of demand through its dense cluster of financial technology companies, healthcare systems, and corporate headquarters, while Alpharetta and Marietta attract roles tied to enterprise software firms and defense contractors that have established large technology campuses in the northern suburbs.
Are there remote ml engineer jobs in Georgia?
Yes, and more than most fields. About 100% of ml engineer openings tied to Georgia are remote or hybrid as of November 2026, reflecting the desk-based and software-driven nature of the work. Model development, experimentation, and research tasks are the most commonly offered remotely, while roles involving on-site data infrastructure or close collaboration with hardware teams tend to require in-person presence.
How can I get hired as a ml engineer in Georgia with little or no experience?
The most realistic entry path is securing a role as a data analyst or junior data scientist, then transitioning into ML engineering as you build hands-on modeling experience. Large Georgia employers like NCR Voyix and Equifax run associate-level technology programs that accept recent graduates. Georgia Tech's cooperative education program places students in applied ML roles before graduation. A portfolio of documented projects on GitHub, particularly any involving real datasets or deployed models, consistently separates candidates without professional ML titles from those who get callbacks.
Where can I find and apply to ml engineer jobs in Georgia?
You can find and apply to ml engineer jobs in Georgia on Migrate Mate, which lists current Georgia openings across Atlanta, Alpharetta, Marietta, and other markets in the state. Find roles that fit your experience and apply directly from each listing.
See All 13 ML Engineer Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
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