Machine Learning Jobs in Georgia
Machine Learning jobs in Georgia are in strong demand, concentrated in financial technology, healthcare analytics, cybersecurity, and supply chain optimization, with openings at every level from entry-level data associate through senior research scientist. Atlanta is the dominant hiring hub, followed by activity in Alpharetta and Savannah, where employers like NCR Voyix, Equifax, and Delta Air Lines maintain established machine learning and AI teams. Computer vision, natural language processing, and MLOps engineering are among the most sought-after specialties across Georgia's tech corridor. Find a role that fits below and apply directly.
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Showing 5 of 13+ Machine Learning 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 Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
Find Machine Learning JobsMachine Learning Jobs by City in Georgia
Where Georgia roles are concentrated, by current openings.
Machine Learning 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 jobs across Georgia.
- Bachelor's or master's degree in computer science, mathematics, or a related quantitative field
- Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience designing, training, and deploying predictive models in production environments
- Familiarity with cloud platforms such as AWS, Google Cloud, or Microsoft Azure for ML workloads
- Strong understanding of data pipelines, feature engineering, and model evaluation techniques
- Ability to communicate model results and business impact clearly to non-technical stakeholders
Machine Learning Jobs in Georgia: Frequently Asked Questions
How do you become a machine learning engineer in Georgia?
Machine learning does not require a state-issued license in Georgia, so the path runs through education and demonstrated skill. Most Georgia employers expect at least a bachelor's degree in computer science, statistics, or a related field, with a master's preferred for research roles. Building a portfolio of end-to-end projects, contributing to open-source work, and earning cloud certifications from AWS or Google Cloud are the credentials that move applications forward in Georgia's competitive market.
Which companies hire machine learning engineers in Georgia?
Employers hiring machine learnings in Georgia right now include FanDuel, Capgemini, and TaxSlayer, based on current listings on Migrate Mate as of November 2026. Georgia's fintech and data-intensive industries mean companies across banking, logistics, and healthcare analytics maintain active machine learning teams year-round.
Which Georgia cities have the most machine learning jobs?
Atlanta, Georgia, and Augusta have the most machine learning openings in Georgia. Atlanta drives the majority of demand as home to major fintech firms, Fortune 500 headquarters, and a dense concentration of technology employers, while Alpharetta's growing technology park and Savannah's expanding logistics sector pull additional hiring outside the core metro.
Are there remote machine learning jobs in Georgia?
Yes, and more than most fields. About 100% of machine learning openings tied to Georgia are remote or hybrid as of November 2026, reflecting the desk-based and analytical nature of the work. Model development, research, and data science roles tend to offer the most remote flexibility, while MLOps and production engineering positions are more likely to require on-site or hybrid presence.
How can I get hired as a machine learning engineer in Georgia with little or no experience?
The most realistic entry path is a junior data analyst or associate data scientist role, which large Georgia employers such as Equifax and NCR Voyix use as a pipeline for machine learning talent. Building two or three end-to-end portfolio projects hosted publicly, completing a graduate certificate from Georgia Tech's OMSA program, and targeting internship or rotational programs at Atlanta-area fintech and healthcare companies gives candidates without formal experience a concrete competitive edge.
Where can I find and apply to machine learning jobs in Georgia?
You can find and apply to machine learning jobs in Georgia on Migrate Mate, which lists current Georgia openings from employers actively hiring. Search the roles available, find the ones that fit your background and location, and apply directly.
See All 13 Machine Learning Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
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