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

Metas Solutions

AI/Machine Learning Engineer

Atlanta, GA · On-site

$140 - $190/hr

... through cutting-edge programs that strengthen communities and promote well-being. See www ... deploying machine learning models * 8+ years of experience with Generative AI, LLMs, or RAG ...

New

Metas Solutions

AI/Machine Learning Engineer

Decatur, GA · On-site

$95K - $130K/yr

... through cutting-edge programs that strengthen communities and promote well-being. See www ... deploying machine learning models8+ years of experience with Generative AI, LLMs, or RAG ...

New

innovitusa

Machine Learning Engineer

Atlanta, GA

W2 Candidates Only We are seeking a Machine Learning Engineer to develop, deploy, and optimize machine learning models and AI solutions. The ideal candidate will have strong experience with Python ...

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

Atlanta, GA · On-site

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 ...

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

As of Aug 30, 2026, the average yearly pay for edge ai machine learning in Suwanee, GA is $39,635.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,200.00 and $42,800.00 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 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 cities near Suwanee, GA are hiring for Edge Ai Machine Learning jobs?

Cities near Suwanee, GA with the most Edge Ai Machine Learning job openings:

Edge Ai Machine Learning jobs near you

Vertex AI Machine Learning Architect

CirrusLabs

Alpharetta, GA • On-site

Full-time

Re-posted 8 days ago

Job description

Job Summary:
CirrusLabs is a niche digital transformation company focused on innovation and co-creating success with its customers. They are seeking a Vertex AI Machine Learning Architect to develop, deploy, and manage machine learning models using Google Cloud's Vertex AI platform, while collaborating with teams to implement AI solutions that solve complex business problems.
Responsibilities:
• Design, develop, and deploy machine learning models using Vertex AI.
• Integrate Vertex AI with other Google Cloud services such as AlloyDB, BigQuery, Cloud Storage, and Dataflow.
• Utilize AutoML capabilities to create high-quality models with minimal manual effort.
• Develop custom training pipelines for more complex machine learning tasks using frameworks like TensorFlow and PyTorch.
• Implement and manage Vertex AI Pipelines for orchestrating end-to-end machine learning workflows.
• Monitor and optimize model performance post-deployment, ensuring models remain accurate and efficient over time.
• Collaborate with data scientists, software engineers, and other stakeholders to understand business requirements and translate them into effective AI solutions.
• Perform hyperparameter tuning to enhance model performance.
• Utilize Vertex AI Feature Store for feature management and reuse.
• Conduct online and batch predictions using Vertex AI prediction services.
• Adhere to MLOps best practices for model versioning, deployment, and lifecycle management.
Qualifications:
Required:
• Proven experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Hands-on experience with Google Cloud Platform (Google Cloud Platform) services, specifically Vertex AI.
• Strong programming skills in Python or a similar language.
• Familiarity with data processing tools like Apache Beam, Dataflow, or similar.
• Understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
• Experience with AutoML tools and techniques.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication and collaboration skills.
Company:
CirrusLabs is an IT company provides agile software delivery, automation, cloud Services, and IoT. Founded in 2005, the company is headquartered in Alpharetta, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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