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Edge Ai Machine Learning Jobs in Kentucky (NOW HIRING)

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 ...

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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 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 Kentucky? For Edge Ai Machine Learning jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Edge Ai Machine Learning jobs in Kentucky look for? The top searched job categories for Edge Ai Machine Learning jobs in Kentucky are:
What cities in Kentucky are hiring for Edge Ai Machine Learning jobs? Cities in Kentucky with the most Edge Ai Machine Learning job openings:

Machine Vision & Edge AI Engineer

Kyyba Inc

Georgetown, KY • On-site

Other

Medical, Dental, Vision, Life, Retirement

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


Job description

Job Title: Machine Vision & Edge AI Engineer

Our client, a leading company in the Automotive Industry, is looking for a talented Machine Vision & Edge AI Engineer to join their growing team in Georgetown, KY!

About Kyyba:

· Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances.

· At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.

About the Role

We''re seeking a Machine Vision & Edge AI Engineer to develop and deploy AI-powered vision inspection systems for high-volume manufacturing. You''ll build production-grade computer vision solutions, optimize models for edge devices, and integrate AI with industrial automation systems to improve product quality and manufacturing efficiency.

Responsibilities

·  Develop computer vision models for defect detection, classification, and segmentation.

·  Train and optimize models using synthetic data, active learning, and data augmentation.

·  Deploy AI applications using Docker and Kubernetes.

·  Optimize inference on NVIDIA Jetson, Intel edge devices, and embedded platforms using TensorRT and ONNX Runtime.

·  Integrate vision systems with PLCs, industrial cameras, and protocols such as OPC-UAMQTT, and REST APIs.

·  Manage the full ML lifecycle including data collection, labeling, validation, deployment, monitoring, and retraining.

·  Partner with manufacturing, automation, IT, and engineering teams to deliver scalable AI solutions.

Required Qualifications

·  Bachelor''s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.

·  5+ years of experience in Machine Vision and Edge AI.

·  Strong programming skills in Python and C++.

·  Experience with PyTorch and/or TensorFlow.

·  Hands-on experience with DockerKubernetesTensorRT, and ONNX Runtime.

·  Experience integrating machine vision systems with PLCs and industrial communication protocols (OPC-UAMQTT).

·  Experience with object detection, image classification, and segmentation models.

·  Knowledge of industrial cameras, lighting, optics, and real-time vision inspection.

Preferred Qualifications

·  Master''s degree in Engineering or a related field.

·  Experience in automotive or industrial manufacturing.

·  Knowledge of robotics, IIoT, and industrial automation.

·  Experience with synthetic data generation (GANs, Blender, NeRFs).

·  Project management experience leading technology deployments.

Disclaimer:

· Kyyba is an Equal Opportunity Employer.

· Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need.”

· It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact Kyyba at

Rewards:

· Medical, dental, vision

· 401k

· Term life

· Voluntary life and disability insurance

· Optional Pre-paid legal plan

· Optional Identity theft plan

· Optional Medical and dependent FSA

· Work-visa sponsorship

· Opportunity for advancement

· Long-term assignment with opportunity for hire by client

SELECT AWARDS:

· An INC 5000 company for 10 years

· Corp! Michigan Economic Bright Spots

· Crain’s Detroit Business Top Staffing Service Companies in Detroit

· TechServe Alliance Excellence Award- IT and Engineering Staffing & Solutions

· Best of MichBusiness winner in HR Wizards & Partnerships

· Metro Detroit Elite Category: Recruitm


KYYBA logo

About KYYBA

Sourced by ZipRecruiter

About Kyyba: Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances. At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Farmington Hills, MI, US

Year founded

1998

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