ZipRecruiter

Log In

1

Edge Ai Machine Learning Jobs in Georgia (NOW HIRING)

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

AI Architect - Media

Atlanta, GA

Role Overview We are seeking a Senior Staff AI / Machine Learning Architect to serve as a key ... in edge ML and NPU enabled platforms-while collaborating closely with researchers, software ...

Via Licensing Corporation

AI Architect

Atlanta, GA · On-site

$152 - $209/hr

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 ...

New

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 ...

KSB, Inc.

Machine Learning Engineer

Grovetown, GA · On-site

$70 - $95/hr

You'll work at the intersection of machine learning and the physical world to build AI systems that learn from real industrial data and connect with the engineering models behind them. The role lives ...

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 ...

Ksb

Machine Learning Engineer

Grovetown, GA

You'll work at the intersection of machine learning and the physical world to build AI systems that learn from real industrial data and connect with the engineering models behind them. The role lives ...

Cox Automotive

Machine Learning Lead Engineer

Vinnings, GA · 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

Mableton, GA · 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

Norcross, GA · 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 · 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 · 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

Morrow, GA · 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 ...

previous pagenext page

Showing results 21-40

All JobsEdge Ai Machine Learning JobsEdge Ai Machine Learning Jobs in Georgia

Edge Ai Machine Learning information

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 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.

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 most commonly searched types of Edge Ai Machine Learning jobs in Georgia?

The most popular types of Edge Ai Machine Learning jobs in Georgia are:

What are popular job titles related to Edge Ai Machine Learning jobs in Georgia?

For Edge Ai Machine Learning jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Edge Ai Machine Learning jobs in Georgia look for?

The top searched job categories for Edge Ai Machine Learning jobs in Georgia are:

What cities in Georgia are hiring for Edge Ai Machine Learning jobs?

Cities in Georgia 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 Georgia as of August 2026, with employment types broken down into 21% Internship, and 79% Full Time. Highlights an 100% In-person job distribution.

MLOps Data Pipeline Engineer (Airflow & MLflow) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Medical, Retirement, PTO

Re-posted yesterday

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!
MLOps Data Pipeline Engineer (Airflow & MLflow)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a skilled MLOps Data Pipeline Engineer to build and manage machine learning pipelines using Airflow and MLflow. This role focuses on integrating Spark or Python-based data workflows for efficient model training and deployment.
Key Responsibilities
  • Design and implement machine learning pipelines using Airflow for orchestration and MLflow for model management.
  • Develop data workflows with Spark or Python to preprocess and feed data into ML models.
  • Automate MLOps processes for model training, validation, and deployment using Kubeflow or similar tools.
  • Collaborate with data scientists to monitor and optimize ML pipeline performance and accuracy.
  • Ensure data pipeline scalability, reliability, and governance in production environments.
  • Troubleshoot and resolve issues in data workflows to maintain seamless ML operations.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Data Engineer with a focus on MLOps and machine learning pipelines.
  • Proficiency in using Airflow for pipeline orchestration and MLflow for model lifecycle management.
  • Experience with Spark or Python for building scalable data workflows in ML environments.
  • Strong understanding of MLOps practices and their integration into data engineering pipelines.

Preferred Qualifications
  • Familiarity with Kubeflow for advanced MLOps workflows and Kubernetes-based deployments.
  • Exposure to cloud platforms like AWS or GCP for hosting MLOps pipelines.
  • Knowledge of data versioning tools like DVC for managing ML datasets and models.

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:
Data Engineer, MLOps, Airflow, MLflow, Kubeflow, Spark, Python, Machine Learning Pipelines

Apply