1

Edge Ai Machine Learning Jobs in Racine, WI (NOW HIRING)

Systems Architect - Edge AI/ML

Milwaukee, WI · On-site

$238K/yr

They are seeking a Systems Architect, Edge AI/ML to define and guide the architecture for AI and machine learning solutions deployed on edge platforms, ensuring scalability, reliability, and security.

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

next page

Showing results 1-20

Edge Ai Machine Learning information

See Racine, WI salary details

$23.9K

$39.9K

$82.5K

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 Racine, WI is $39,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,500.00 and $43,100.00 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 popular job titles related to Edge Ai Machine Learning jobs in Racine, WI? For Edge Ai Machine Learning jobs in Racine, WI, the most frequently searched job titles are:
Infographic showing various Edge Ai Machine Learning job openings in Racine, WI 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 $39,930 per year, or $19.2 per hour.

Systems Architect - Edge AI/ML

Rite-Hite

Milwaukee, WI • On-site

$238K/yr

Full-time

Re-posted 19 days ago


Rite-Hite rating

8.6

Company rating: 8.6 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

72nd of 487 rated machine equipment manufacturers


Job description

Job Summary:
Rite-Hite is a global leader in loading dock and door equipment, dedicated to innovation and safety. They are seeking a Systems Architect, Edge AI/ML to define and guide the architecture for AI and machine learning solutions deployed on edge platforms, ensuring scalability, reliability, and security.
Responsibilities:
• Define and maintain reference architectures, design patterns, and standards for deploying AI and ML models on edge devices and platforms.
• Establish common approaches for data ingestion, feature pipelines, model inference, performance optimization, and lifecycle management at the edge.
• Ensure architectural decisions support real-time operation, scalability, reliability, safety, and security.
• Drive the strategic use of AI and ML at the edge by establishing repeatable patterns for model development, deployment, monitoring, and update.
• Own a portion of the internal technology radar related to AI/ML, edge analytics, and sensing technologies.
• Foster a culture of responsible, ethical, and transparent AI practices aligned with cybersecurity, privacy, and safety requirements.
• Partner with product management and engineering teams to enable AI-driven capabilities such as condition monitoring, vision-based sensing, anomaly detection, and predictive insights.
• Guide architectural decisions related to edge compute constraints, sensor integration, and real-time inference workloads.
• Promote reuse and consistency of AI/ML components across products and platforms.
• Define patterns for integration between edge AI/ML solutions, device software, hybrid mobile applications, and enterprise or cloud-based platforms.
• Ensure solutions support online, offline, and hybrid deployment models common in industrial environments.
• Promote interoperability with internal systems and approved third-party technologies.
• Define secure-by-design and safety-aligned principles for AI/ML model deployment and operation at the edge.
• Ensure alignment with applicable safety, quality, and industrial cybersecurity standards.
• Participate in architecture and design reviews to assess risk, resilience, and compliance.
• Collaborate across product management, device and edge software, data science, cloud platforms, manufacturing, service, and mobile application teams.
• Provide technical leadership, mentorship, and guidance to engineers and teams working with AI/ML technologies.
• Serve as a technical advisor in strategic customer conversations and enterprise implementations when appropriate.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, or a related technical field required
• 8+ years of experience delivering AI/ML-enabled solutions, with demonstrated experience deploying models in edge or resource-constrained environments
• Strong understanding of AI/ML architectures, model lifecycle management, and real-time inference at the edge
• Experience designing systems that balance performance, accuracy, latency, and resource constraints
• Ability to think systemically across sensors, devices, edge platforms, mobile applications, and cloud services
• Strong communication skills and ability to influence cross-functional stakeholders
• Visionary technical leader who can inspire cross-functional teams and align stakeholders to a shared product vision
• Exceptional communicator across technical and non-technical audiences
• Committed to data-driven decision-making and delivery excellence
Preferred:
• Master’s degree preferred
• Experience with industrial, connected, or safety-critical systems preferred
• Familiarity with industrial automation, IoT ecosystems, or computer vision is a plus
Company:
Rite-Hite is a manufracturer of loading dock equipment, industrial doors, safety barriers, HVLS fans, industrial curtain walls. Founded in 1965, the company is headquartered in Milwaukee, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

What Rite-Hite employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Rite-Hite logo

About Rite-Hite

Sourced by ZipRecruiter

Rite-Hite is the global leader in the manufacture and distribution of industrial loading dock and door equipment. Our innovative products and world class sales organization ensure solid, consistent growth, both for our company and our staff.

Industry

Machinery manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Milwaukee, WI, US

Year founded

1965

Social media