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Computer Vision Engineer

Advantage TechnicalRaymond, OH🇺🇸United StatesPosted 9 Jul 2026

Why This Role Stands Out

This hybrid role offers a competitive hourly rate and the chance to drive innovation in smart manufacturing using cutting-edge AI and computer vision technologies. If you're a mid-senior engineer passionate about developing impactful solutions and exploring emerging tech, this is an excellent opportunity to grow your skills within a dynamic team.

Quick Overview

Salary
€33/hr
Work Type
Hybrid
Level
Mid Senior

Job Description

Computer Vision Engineer (Temporary Position)

Pay Rate: $42.00 - $53.33/hour

Are you passionate about emerging technologies, artificial intelligence, and smart manufacturing? Join a cutting-edge engineering team where you'll develop innovative digital solutions that improve manufacturing performance, reliability, and competitiveness.

We are seeking a Computer Vision Engineer to support advanced manufacturing initiatives by designing, testing, and implementing technology solutions for plant floor applications. This role will partner with regional manufacturing teams to identify opportunities, develop proof-of-technology concepts, and deliver reliable solutions using computer vision, AI, machine learning, and IoT technologies.

Key Responsibilities:


  • Develop and test digital technology solutions, including vision inspection systems, AI applications, and machine/sensor data analytics.

  • Analyze manufacturing challenges and customer needs to identify technology-driven solutions.

  • Support IoT strategy development, implementation, and roadmap execution.

  • Research emerging technologies and evaluate future manufacturing applications.

  • Apply machine learning and analytical processes to support proof-of-concept and production-ready IoT projects.

  • Interpret machine data to evaluate equipment health, performance, and product quality impacts.


Required Qualifications:


  • Bachelor's degree in Engineering, Computer Science, Data Science, Electrical Engineering, Controls Engineering, or related field; equivalent experience considered.

  • 2+ years of experience in manufacturing controls, embedded systems, network design, machine learning, or data engineering (automotive manufacturing experience preferred).

  • Knowledge of PLC controls and manufacturing systems, including Mitsubishi, Rockwell, Siemens, or Omron.

  • Experience with computer vision algorithms including segmentation, morphology, calibration, image enhancement, feature extraction, classification, 3D vision, and deep learning.

  • Programming experience with C++, Python, HALCON, Matrox, Cognex, and/or Keyence.

  • Experience with vibration, audio, or current signature analysis preferred.


Employee Benefits:


  • Medical, dental, vision, and pet insurance

  • 401(k) Retirement Savings Plans

  • Employee Assistance Program (EAP)

  • Commuter/Parking Accounts

  • People Perks

  • Health Savings Account (HSA)

  • AD&D Insurance


Take your engineering expertise to the next level by helping shape the future of smart manufacturing technology. Apply Now to be considered for this exciting opportunity!
About Us

Advantage Technical connects top- talent in technology, engineering, and technical fields with forward-looking companies.


Advantage Technical is an equal opportunity employer. All applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other legally protected status. Advantage Technical offers reasonable accommodations for qualified individuals with disabilities; contact your local branch for inquiries. Advantage Technical is an E-Verify employer. See our Privacy Notice for Candidates and Employees/Contractors at By applying, you consent to receive AI-generated and non-AI-generated calls, texts, or emails from Staffmark Group, its affiliates, and partners. Frequency varies and message/data rates may apply. Reply STOP to cancel or HELP for help.

Skills

Embedded Systems
Machine Learning
Computer Vision
Deep Learning
C++
IoT
Python

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