Computer Vision Engineer

KYYBA Inc; Georgetown (KY); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Voluntary life and disabilityinsurance

Optional Pre‑paid legal plan

Optional Identity theft plan

Optional Medical and dependent FSA

Opportunity for advancement

Long‑term assignment with opportunity

Job summary

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

Responsibilities include training and deploying models, optimizing inference on Jetson and embedded devices, and collaborating with cross-functional teams to deliver scalable AI

Qualifications

• Bachelor's degree in CS, ECE, ME or related field.
• 5+ years in machine vision and edge AI with real project experience.
• Proficiency in Python and C++.
• Experience with PyTorch and/or TensorFlow.
• Hands-on with Docker, Kubernetes, TensorRT and ONNX Runtime.
• Experience integrating vision systems with PLCs and protocols like OPC-UA and MQTT.
• Experience with object detection, image classification, and segmentation.
• Knowledge of industrial cameras, lighting, optics, and real-time inspection.

Responsibilities

• Train and optimize models using synthetic data, active learning, and data augmentation.
• Deploy AI apps using Docker and Kubernetes.
• Optimize inference on NVIDIA Jetson, Intel edge devices, and embedded platforms.
• Integrate vision systems with PLCs, cameras, and OPC-UA/MQTT/REST APIs.
• Manage full ML lifecycle: data collection, labeling, validation, deployment, monitoring, retraining.
• Collaborate with manufacturing, automation, IT, and engineering teams to deliver scalable AI solutions.

Skills

Machine Vision

Edge AI

Python

C++

PyTorch

TensorFlow

Docker

Kubernetes

TensorRT

ONNX Runtime

PLC integration

OPC-UA

MQTT

REST APIs

Industrial cameras

Real-time vision

Education

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

Master's degree in Engineering or related field

Tools

Docker

Kubernetes

TensorRT

ONNX Runtime

PyTorch

TensorFlow

OPC-UA

MQTT

REST APIs

Job description

********** No C2C or 3rd Party Candidates please***********

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

• 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-UA, MQTT, 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 Docker, Kubernetes, TensorRT, and ONNX Runtime.
• Experience integrating machine vision systems with PLCs and industrial communication protocols (OPC-UA, MQTT).
• 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 248-813-9665

Rewards:

• Voluntary life and disability insurance
• Optional Pre‑paid legal plan
• Optional Identity theft plan
• Optional Medical and dependent FSA
• Opportunity for advancement
• Long‑term assignment with opportunity for hire by client

SELECT AWARDS:

• An INC 5000 company for 10 years
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• Metro Detroit Elite Category: Recruitment, Selection & Orientation for 101 Best & Brightest
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