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Edge Ai Machine Learning Jobs in Raleigh, NC (NOW HIRING)

Senior Machine Learning Engineer

Raleigh, NC · On-site

$101K - $139K/yr

We are seeking a Senior Machine Learning Engineer to help lead the design and validation of AI-driven product capabilities within the legal domain. This role focuses on defining what to build and why ...

We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental ...

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. In this role, you will help develop software and machine learning ...

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. The Machine Learning Engineer will develop software and machine learning ...

Machine Learning Compiler

Raleigh, NC · On-site

$160K - $240K/yr

Lead a team of engineers focused on advancing machine learning compiler technologies for cutting-edge AI accelerators for the Cloud and Datacenter market. This role combines deep technical expertise ...

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In ... edge projects. Vadum, Inc. is an Equal Opportunity Employer. Vadum is committed to providing ...

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In ... edge projects. Vadum, Inc. is an Equal Opportunity Employer. Vadum is committed to providing ...

Machine Learning Engineer

Raleigh, NC · On-site

$96K - $137K/yr

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. In ... edge projects. Vadum, Inc. is an Equal Opportunity Employer. Vadum is committed to providing ...

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Machine Learning Tutor

Raleigh, NC · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Machine Learning Tutor

Durham, NC · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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Edge Ai Machine Learning information

See Raleigh, NC salary details

$24.8K

$41.4K

$85.5K

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

As of Aug 29, 2026, the average yearly pay for edge ai machine learning in Raleigh, NC is $41,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 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 are the most commonly searched types of Edge Ai Machine Learning jobs in Raleigh, NC?

The most popular types of Edge Ai Machine Learning jobs in Raleigh, NC are:

What are popular job titles related to Edge Ai Machine Learning jobs in Raleigh, NC?

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

What cities near Raleigh, NC are hiring for Edge Ai Machine Learning jobs?

Cities near Raleigh, NC with the most Edge Ai Machine Learning job openings:

Infographic showing various Edge Ai Machine Learning job openings in Raleigh, NC as of July 2026, with employment types broken down into 27% Internship, and 73% Full Time. Highlights an 100% In-person job distribution, with an average salary of $41,395 per year, or $19.9 per hour.

Senior Machine Learning Engineer

Compunnel

Raleigh, NC • On-site

$101K - $139K/yr

Contractor

Posted 11 days ago


Job description

Job Summary:
We are seeking a Senior Machine Learning Engineer to help lead the design and validation of AI-driven product capabilities within the legal domain. This role focuses on defining what to build and why, leveraging Python and large language models (LLMs) to solve complex legal workflows. You will drive experimentation, modeling, and evaluation, partnering closely with data scientists to translate validated approaches into scalable, customer-facing solutions.
Key Responsibilities:
• Design, build, and deploy scalable machine learning and generative AI solutions for legal technology products.
• Develop and optimize NLP, LLM, and Retrieval-Augmented Generation (RAG) applications for production environments.
• Engineer agentic AI workflows and multi-step reasoning systems to automate complex legal processes.
• Implement and improve retrieval systems, including vector databases, semantic search, lexical search, and hybrid search architectures.
• Build and maintain ML pipelines, APIs, model serving infrastructure, and cloud-based AI platforms.
• Establish MLOps best practices for model deployment, monitoring, observability, versioning, and lifecycle management.
• Evaluate and optimize model performance, latency, scalability, and cost efficiency across AI applications.
• Partner with product managers, legal subject matter experts, data scientists, and software engineers to deliver business-focused AI solutions.
• Troubleshoot production ML systems, identify performance bottlenecks, and implement continuous improvements.
• Provide technical leadership and mentorship on machine learning engineering, LLM architecture, and AI platform best practices.
Required Qualifications:
• 7-10+ years of AI/machine learning engineering experience, including building RAG systems end-to-end and deploying solutions through production.
• Strong software and Python engineering background, with progression into machine learning engineering.
• Experience designing agentic workflows and applying generative AI techniques, including prompt engineering and end-to-end RAG system development.
• Strong experience working with unstructured data, including text and documents, document processing, NLP, embeddings, retrieval, and agentic systems.
• Strong experience creating production-grade ML systems at scale.
• Strong LLM, Generative AI, and RAG deployment experience, including implementation and end-to-end evaluation.
• Experience with the complete deployment lifecycle, including product development, production maintenance, and new feature development.
• Experience working alongside data scientists throughout the production deployment and lifecycle.
• Strong Python programming skills.

Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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