Machine Learning Engineer Jobs in Georgia
Machine Learning Engineer jobs in Georgia are in strong demand, concentrated in fintech, cybersecurity, supply chain technology, and healthcare AI, with openings at every level from entry-level data scientist to principal ML engineer. Atlanta drives the bulk of hiring, with growing activity in Alpharetta and Savannah, where employers like NCR Voyix, Cox Enterprises, and Delta Air Lines maintain established technology operations and consistently recruit ML talent. The most sought-after specialties in Georgia right now are natural language processing, MLOps and model deployment, and computer vision. Find a role that fits below and apply directly.
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Showing 5 of 13+ Machine Learning 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 Machine Learning Engineer Jobs in Georgia
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Find JobsMachine Learning Engineer Jobs by City in Georgia
Where Georgia roles are concentrated, by current openings.
Machine Learning 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 machine learning engineer jobs across Georgia.
- Bachelor's or master's degree in computer science, statistics, or a closely related field
- Proficiency in Python and core ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience building, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms including AWS, Google Cloud, or Microsoft Azure
- Strong foundation in statistics, linear algebra, and algorithm design
- Experience with data pipelines, feature engineering, and model monitoring at scale
Machine Learning Engineer Jobs in Georgia: Frequently Asked Questions
How do you become a machine learning engineer in Georgia?
Machine learning engineering in Georgia has no state-issued license or registration requirement, so the path runs through education and demonstrated technical skill. Most employers expect at least a bachelor's degree in computer science, mathematics, or engineering, with many Georgia technology companies and research institutions preferring a master's. Georgia Tech's OMSCS program is one of the most direct routes for candidates building credentials while working, and portfolio projects deploying real models carry significant weight in local hiring.
How much do machine learning engineers make in Georgia?
Machine learning engineers in Georgia earn a median of about $131,010 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $80,110 for the lowest 10% to over $176,000 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire machine learning engineers in Georgia?
Employers hiring machine learning 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 fintech companies, logistics firms, and large enterprise technology operations means ML roles here frequently focus on fraud detection, demand forecasting, and customer intelligence applications.
Which Georgia cities have the most machine learning engineer jobs?
Atlanta, Georgia, and Augusta have the most machine learning engineer openings in Georgia. Atlanta anchors the market as home to the state's largest technology corridor and corporate headquarters, while Alpharetta's dense cluster of financial technology and cybersecurity firms generates consistent ML demand, and Savannah's growing logistics and port-adjacent technology sector has added meaningful volume in recent years.
Are there remote machine learning engineer jobs in Georgia?
Yes, and more than most fields. About 100% of machine learning engineer openings tied to Georgia are remote or hybrid as of November 2026, reflecting the desk-based, software-driven nature of the work. Model development, experimentation, and research tasks tend to be the most remote-compatible, while roles requiring close collaboration with embedded engineering teams or proprietary on-site infrastructure are more likely to require in-person attendance.
How can I get hired as a machine learning engineer in Georgia with little or no experience?
The most realistic entry point is a data analyst or junior data scientist role at one of Georgia's large enterprise employers, then transitioning into ML engineering as you build model-deployment experience. Companies like Cox Enterprises and large Atlanta-based fintech firms regularly hire new graduates into rotational or associate data science programs. A strong GitHub portfolio demonstrating end-to-end projects, combined with Georgia Tech's OMSCS coursework or a recognized ML certification, gives candidates a concrete edge over applicants with credentials alone.
Where can I find and apply to machine learning engineer jobs in Georgia?
You can find and apply to machine learning engineer jobs in Georgia on Migrate Mate, which lists current Georgia openings from employers actively hiring. Search the listings, find roles that match your experience and location preference, and apply directly to the ones that fit.
See All 13 Machine Learning Engineer Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
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