AI ML Engineering Jobs in Georgia
AI ML Engineering jobs in Georgia are open across Atlanta, Alpharetta, and Cumming and other Georgia metros, with employers like The Home Depot, Capgemini, and Honeywell hiring at every experience level. Find a role that fits below and apply directly.
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INTRODUCTION
This role is for a hands-on lead specializing in Edge AI deployment. The successful candidate will provide specialized expertise in model optimization at the edge, robust deployment, and MLOps pipeline development. You will leverage your skills in edge optimization, system and embedded knowledge, AI/machine learning, MLOps, computer vision, innovation, and problem solving to drive advanced AI solutions.
We are seeking someone with embedded AI experience, particularly with GPUs or AI accelerators, and strong system solution knowledge for AI application deployment.
You will be part of the Forge and AI team, based in Atlanta, Georgia.
BASIC QUALIFICATIONS
- Proven experience in embedded AI with hands-on expertise in GPU or AI accelerator deployment.
- Strong skills in edge model optimization and embedded system architecture.
- Deep understanding of AI/machine learning algorithms and computer vision applications.
- Experience building and managing MLOps pipelines for AI model deployment at the edge.
- Excellent problem-solving skills and a passion for innovation in embedded AI technologies.
PREFERRED QUALIFICATIONS
- Background in system solutions with AI application deployment experience.
- Strong knowledge of embedded systems and real-time operating environments.
- Experience working in collaborative, agile environments.
- Advanced degree in Computer Science, Electrical Engineering, or related technical field preferred.
KEY RESPONSIBILITIES
- Lead hands-on development and deployment of Edge AI solutions with a focus on model optimization and performance on embedded platforms.
- Design and implement robust MLOps pipelines to support continuous integration and deployment of AI models at the edge.
- Collaborate with cross-functional teams to integrate AI applications into embedded systems using GPUs and AI accelerators.
- Provide technical leadership and mentorship in embedded AI, system architecture, and AI deployment strategies.
- Drive innovation and problem-solving initiatives to enhance AI capabilities and deployment robustness on edge devices.
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
INTRODUCTION
This role is for a hands-on lead specializing in Edge AI deployment. The successful candidate will provide specialized expertise in model optimization at the edge, robust deployment, and MLOps pipeline development. You will leverage your skills in edge optimization, system and embedded knowledge, AI/machine learning, MLOps, computer vision, innovation, and problem solving to drive advanced AI solutions.
We are seeking someone with embedded AI experience, particularly with GPUs or AI accelerators, and strong system solution knowledge for AI application deployment.
You will be part of the Forge and AI team, based in Atlanta, Georgia.
BASIC QUALIFICATIONS
- Proven experience in embedded AI with hands-on expertise in GPU or AI accelerator deployment.
- Strong skills in edge model optimization and embedded system architecture.
- Deep understanding of AI/machine learning algorithms and computer vision applications.
- Experience building and managing MLOps pipelines for AI model deployment at the edge.
- Excellent problem-solving skills and a passion for innovation in embedded AI technologies.
PREFERRED QUALIFICATIONS
- Background in system solutions with AI application deployment experience.
- Strong knowledge of embedded systems and real-time operating environments.
- Experience working in collaborative, agile environments.
- Advanced degree in Computer Science, Electrical Engineering, or related technical field preferred.
KEY RESPONSIBILITIES
- Lead hands-on development and deployment of Edge AI solutions with a focus on model optimization and performance on embedded platforms.
- Design and implement robust MLOps pipelines to support continuous integration and deployment of AI models at the edge.
- Collaborate with cross-functional teams to integrate AI applications into embedded systems using GPUs and AI accelerators.
- Provide technical leadership and mentorship in embedded AI, system architecture, and AI deployment strategies.
- Drive innovation and problem-solving initiatives to enhance AI capabilities and deployment robustness on edge devices.
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
See All 78 AI ML Engineering Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
Find AI ML Engineering JobsAI ML Engineering Jobs by City in Georgia
Where Georgia roles are concentrated, by current openings.
AI ML Engineering Job Market in Georgia
A snapshot from current Georgia openings, updated as new roles post.
Who's Hiring
- The Home Depot9
- Capgemini7
- Honeywell6
- AIG5
- Tata Consultancy Services (TCS)5
Top Industries Hiring
- Technology & Software29
- Consulting & Professional Services13
- Retail12
- Insurance8
- Airlines3
What Georgia Employers Look For
The qualifications that appear most often in AI ML engineering jobs across Georgia.
- Proficiency in Python and at least one major ML framework such as PyTorch or TensorFlow
- Experience building, training, and deploying machine learning models in production environments
- Strong understanding of statistics, probability, and core machine learning algorithms
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for model serving
- Experience with data pipelines, feature engineering, and large-scale data processing tools
- Bachelor's or master's degree in computer science, mathematics, statistics, or a related field
AI ML Engineering Jobs in Georgia: Frequently Asked Questions
How many AI ML engineering jobs are there in Georgia?
There are 78+ AI ML engineering openings in Georgia on Migrate Mate as of June 2026, with the most roles in Atlanta, Alpharetta, and Cumming. New positions post regularly as employers across Georgia hire.
Which Georgia cities have the most AI ML engineering jobs?
Atlanta, Alpharetta, and Cumming have the most AI ML engineering openings in Georgia right now, with additional roles spread across smaller metros statewide.
Which companies hire AI ML engineerings in Georgia?
Employers hiring AI ML engineerings in Georgia include The Home Depot, Capgemini, and Honeywell, based on current listings on Migrate Mate as of June 2026.
Are there remote AI ML engineering jobs in Georgia?
Yes. About 21% of AI ML engineering openings tied to Georgia are remote or hybrid as of June 2026. The rest are on-site roles based in Georgia metros.
How do I apply for AI ML engineering jobs in Georgia?
You can apply to AI ML engineering jobs in Georgia directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred Georgia location, then apply to each one that fits.
See All 78 AI ML Engineering Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
Find AI ML Engineering Jobs