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

Dolby

AI Architect

Atlanta, GA ยท 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 ...

Dolby Laboratories, Inc.

AI Architect

Atlanta, GA ยท 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 ...

Cox Automotive

Machine Learning Lead Engineer

Redan, GA ยท On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Build bridges between cutting-edge research and practical business applications * Establish the ...

Cox Automotive

Machine Learning Lead Engineer

Hapeville, GA ยท On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Build bridges between cutting-edge research and practical business applications * Establish the ...

Cox Automotive

Machine Learning Lead Engineer

Doraville, GA ยท On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Build bridges between cutting-edge research and practical business applications * Establish the ...

Cox Automotive

Machine Learning Lead Engineer

Chamblee, GA ยท On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Build bridges between cutting-edge research and practical business applications * Establish the ...

Cox Automotive

Machine Learning Lead Engineer

Riverdale, GA ยท On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Build bridges between cutting-edge research and practical business applications * Establish the ...

Cox Automotive

Machine Learning Lead Engineer

Decatur, GA ยท On-site

$134K - $224K/yr

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... Build bridges between cutting-edge research and practical business applications * Establish the ...

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

Edge Ai Machine Learning information

See Decatur, GA salary details

$24.9K

$41.6K

$85.9K

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

As of Jun 19, 2026, the average yearly pay for edge ai machine learning in Decatur, GA is $41,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,700.00 and $44,900.00 per year, depending on experience, location, and employer.

What is an Edge AI Machine Learning job?

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, and why are they important?

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.

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