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Machine Vision Application Engineer Jobs in Cincinnati, OH

Tata Consultancy Service Limited

Engineer

Cincinnati, OH · On-site

$100K - $110K/yr

GEN AI Developer • GenAI Application Engineer with strong core development skills in Java, Spring Boot, APIs, and Microservices • At least one must have concrete machine learning experience. • ...

Skillframe

Maintenance and Controls Engineer

Mason, OH

$36.06 - $43.27/hr

Experience supporting automated assembly equipment, machine vision systems, leak testing ... Collaborate with experienced engineers across manufacturing, product development, and advanced ...

New

Skillframe

Maintenance and Controls Engineer

Mason, OH · On-site

$75K - $90K/yr

Experience supporting automated assembly equipment, machine vision systems, leak testing ... Collaborate with experienced engineers across manufacturing, product development, and advanced ...

New

Saratech

Application Engineering co-op

Cincinnati, OH · On-site

$20 - $30/hr

From start-ups to blue-chips, Saratech (saratech.com) helps companies engineer and manufacture ... machinery. We are seeking highly skilled and motivated Engineering Students to join our dynamic ...

Smiths Machine

Rollomatic or Anca Operator

Cincinnati, OH

$16.25 - $19.50/hr

Perform machine changeovers and setup adjustments as required Programming * Develop and modify ... Specific vision abilities required by this job include close vision, distance vision, depth ...

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All JobsMachine Vision Application Engineer JobsMachine Vision Application Engineer Jobs in Cincinnati, OH

Machine Vision Application Engineer information

See Cincinnati, OH salary details

$48.5K

$106.2K

$145.8K

How much do machine vision application engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for machine vision application engineer in Cincinnati, OH is $106,213.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,600.00 and $129,500.00 per year, depending on experience, location, and employer.

What is a machine vision application engineer?

A Machine Vision Application Engineer is a technical professional who designs, develops, and implements machine vision systems used for automated inspection, measurement, and guidance in manufacturing and industrial environments. They work with cameras, sensors, lighting, and image processing software to create solutions that help machines 'see' and interpret visual information. Their role often involves collaborating with clients to understand application requirements, selecting appropriate hardware and software, and ensuring successful system integration. Machine Vision Application Engineers play a key role in improving product quality, production efficiency, and automation processes.

How does a machine vision application engineer typically collaborate with other departments during a project?

Machine Vision Application Engineers frequently work in cross-functional teams, collaborating closely with software developers, mechanical engineers, and production staff to ensure vision systems integrate seamlessly into manufacturing processes. They are often involved from the initial requirements gathering stage through to implementation and troubleshooting, providing technical expertise and translating complex imaging needs into practical solutions. Regular communication with quality assurance and operations teams is also common, as these engineers help fine-tune systems to maintain accuracy and efficiency on the production floor.

What are the key skills and qualifications needed to thrive as a machine vision application engineer, and why are they important?

To thrive as a Machine Vision Application Engineer, you need a solid background in engineering or computer science, experience with image processing, and a strong understanding of optics and camera technologies. Familiarity with machine vision software (such as Cognex, Halcon, or OpenCV), programming languages (like C++ or Python), and industrial automation systems is typically required. Strong problem-solving skills, effective communication, and project management abilities help you excel in client-facing and cross-disciplinary environments. These skills are crucial for designing, implementing, and supporting robust vision systems that meet manufacturing and automation needs.

What is the difference between Machine Vision Application Engineer vs Computer Vision Engineer?

AspectMachine Vision Application EngineerComputer Vision Engineer
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with vision systemsBachelor's or higher in Computer Science, Electrical Engineering, or related; strong programming skills
Work EnvironmentManufacturing, automation, quality control settingsResearch labs, tech companies, AI development environments
Industry UsageIndustrial automation, robotics, manufacturingAI, autonomous vehicles, image analysis
Common Search/ComparisonYesYes

While both roles involve image processing and vision systems, the Machine Vision Application Engineer focuses on implementing vision solutions in industrial settings, whereas the Computer Vision Engineer works on developing algorithms and AI models for broader applications like autonomous vehicles and AI research.

What are popular job titles related to Machine Vision Application Engineer jobs in Cincinnati, OH?

For Machine Vision Application Engineer jobs in Cincinnati, OH, the most frequently searched job titles are:

What job categories do people searching Machine Vision Application Engineer jobs in Cincinnati, OH look for?

The top searched job categories for Machine Vision Application Engineer jobs in Cincinnati, OH are:

What cities near Cincinnati, OH are hiring for Machine Vision Application Engineer jobs?

Cities near Cincinnati, OH with the most Machine Vision Application Engineer job openings:

Machine Vision Application Engineer jobs near you

Engineer

Tata Consultancy Service Limited

Cincinnati, OH • On-site

$100K - $110K/yr

Full-time

Posted 17 days ago

Job description

GEN AI Developer
• GenAI Application Engineer with strong core development skills in Java, Spring Boot, APIs, and Microservices
• At least one must have concrete machine learning experience.
• At least 2 should have experience developing applications with Generative AI in Azure AI and Azure Cloud echo system.
• Other can be strong Java and Spring boot engineers with aptitude to learn and develop applications using Open AI on Azure platform.
• Lang Graph and Lang Chain is very highly valued. Developing and deploying applications in cloud space is essential for those that do not have AI development experience.
Salary Range- $100,000-$110,000 a year
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