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Edge Ai Machine Learning Jobs in Atlanta, GA (NOW HIRING)

TonicAI

Staff AI/Machine Learning Engineer

Atlanta, GA · On-site

$200 - $260/hr

We work with frontier AI labs pushing the edge of what models can do, and with hundreds of enterprises including Fidelity, JPMorgan, and Comcast who need to use their real data safely. This role sits ...

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Home Depot

Senior AI Engineer (Remote)

Atlanta, GA · On-site +1

$99K - $136K/yr

... edge AI capabilities from concept to production. Required skills * Experience: 6+ years of experience in AI, Machine Learning Engineering, or Software Engineering with strong Python development ...

Speria

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $160/hr

For over 30 years, Speria MTech has provided cutting-edge enterprise data solutions for all aspects ... Familiarity with LLMs, generative AI, and agent-based systems * MS may qualify with 1-2 years; BS ...

Dolby Laboratories, Inc.

AI Architect

Atlanta, GA

Role Overview We are seeking a Senior Staff AI / Machine Learning Architect to serve as a key ... Stay current with developments in AI/ML, including emerging architectures and edge inference ...

Dolby

AI Architect

Atlanta, GA · On-site

Role Overview We are seeking a Senior Staff AI / Machine Learning Architect to serve as a key ... Stay current with developments in AI/ML, including emerging architectures and edge inference ...

innovitusa

AI/ML Engineer

Atlanta, GA · On-site

$110K - $132K/yr

We are seeking a talented AI/ML Engineer to design, develop, deploy, and optimize machine learning and AI solutions that solve real-world business problems. The ideal candidate will work with data ...

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All JobsEdge Ai Machine Learning JobsEdge Ai Machine Learning Jobs in Atlanta, GA

Edge Ai Machine Learning information

See Atlanta, GA salary details

$24.5K

$41K

$84.6K

How much do edge ai machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for edge ai machine learning in Atlanta, GA is $40,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,300.00 and $44,200.00 per year, depending on experience, location, and employer.

What is an Edge AI Machine Learning?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the key skills and qualifications needed to thrive in the Edge AI Machine Learning position?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

How to become an edge AI machine learning engineer?

To become an edge AI machine learning engineer, develop strong skills in machine learning, embedded systems, and programming languages like Python and C++. Gain experience with hardware platforms such as NVIDIA Jetson or Raspberry Pi, and learn to optimize models for low-power, resource-constrained environments. Earning certifications in AI, embedded systems, or IoT can also enhance your qualifications.
What are the most commonly searched types of Edge Ai Machine Learning jobs in Atlanta, GA? The most popular types of Edge Ai Machine Learning jobs in Atlanta, GA are:
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What cities near Atlanta, GA are hiring for Edge Ai Machine Learning jobs? Cities near Atlanta, GA with the most Edge Ai Machine Learning job openings:
Edge Ai Machine Learning jobs near you
Infographic showing various Edge Ai Machine Learning job openings in Atlanta, GA as of August 2026, with employment types broken down into 5% Internship, 79% Full Time, and 16% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $40,951 per year, or $19.7 per hour.

Angular AI Developer (Frontend AI/ML Integrations) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$101K - $118K/yr

Full-time

Medical, Retirement, PTO

Re-posted 5 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Angular AI Developer (Frontend AI/ML Integrations)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking an innovative Angular AI Developer to create AI-enhanced frontends using Angular, integrating ChatGPT or OpenAI APIs. This role focuses on delivering cutting-edge UI/UX experiences powered by machine learning.
Key Responsibilities
  • Develop Angular-based frontends with integrated AI/ML features using ChatGPT or OpenAI APIs.
  • Design responsive and intuitive UI/UX components to showcase real-time AI-driven insights.
  • Implement RESTful APIs to connect Angular interfaces with backend AI services.
  • Optimize frontend performance and accessibility for LLM-integrated user experiences.
  • Collaborate with backend teams to ensure seamless AI model integration into the UI.
  • Ensure high-quality, reusable code for scalable AI frontend solutions.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience in Angular development with a focus on AI or ML frontend integrations.
  • Proficiency in integrating ChatGPT, OpenAI, or LLM APIs into Angular applications.
  • Experience designing UI/UX solutions with real-time AI capabilities and REST integrations.
  • Strong understanding of frontend development and AI-driven interface design.

Preferred Qualifications
  • Familiarity with advanced Angular features like NgRx or lazy loading for performance.
  • Exposure to cloud-hosted AI services on AWS or Azure for frontend integration.
  • Knowledge of accessibility standards (WCAG) for AI-enhanced UIs.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Angular, AI, Machine Learning, ChatGPT, OpenAI, LLM, Frontend, UI/UX, REST APIs

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