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

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 ...

New

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 ...

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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 8, 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.

Principal AI & GenAI Leader for Scalable Production ML (Atlanta)

Blue Shield of CA

Atlanta, GA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Blue Shield of CA’s AI & Machine Learning team is seeking a Principal Data Scientist to lead the development and deployment of novel AI applications that leverage generative models. You will translate cutting-edge AI research into real-world products, shipping production‑grade features such as LLM-powered apps, agents, and RAG-enabled search, across customer-facing workflows.

Reporting to the AI & ML Director, you will set the technical direction, build scalable systems, and mentor teams in a

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