Vision Engineer

Position Summary :

TAMKO Building Products LLC is seeking a Plant Systems Vision Engineer. This role is responsible for developing, managing, and sustaining traditional and AI computer / machine vision solutions to ensure the quality of building product materials.

This job is fully remote with occasional travel to plants in the continental United States, up to 20% per year.

Summary of Essential Functions :

To perform this job successfully, an individual must be able to perform each essential function satisfactorily. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.

Additional duties may also be assigned.

• Develop vision algorithms and AI models for inspection tasks in a manufacturing environment.
• Collect diverse image datasets necessary for training robust vision models. This includes identifying relevant data sources, ensuring a balance of data types, and annotating images accurately.
• Oversee and execute the cleaning and preprocessing of image data to ensure high-quality inputs for model training.
• Develop and maintain preprocessing pipelines that enhance data usability and model performance, incorporating techniques such as noise reduction, normalization, and data augmentation.
• Implement data and sensor fusion techniques to integrate additional sensors into vision algorithms where appropriate.
• Continuously evaluate and refine existing models based on new data or feedback to enhance performance and reliability.
• Design validation tests to ensure models perform as expected under various conditions. Implement robust testing frameworks to assess the performance of the vision systems.
• Document and recommend vision best practices.
• Keep up to date with the latest developments in computer vision to propose and experiment with new techniques that could improve system performance.
• Collaborate with other groups within TAMKO to improve profitability and productivity.

Preferred Qualifications

• Bachelor’s Degree in Computer Science, Computer Vision, Machine Learning, or related fields with a minimum of 3 years of relevant industrial experience (or a high school diploma / GED with a minimum of 8 years of experience in relevant engineering or strong technical knowledge and experience in computer vision in a manufacturing environment).
• Strong programming skills in Python, C, C++, or other relevant programming languages.
• Experience with machine learning frameworks.
• Experience with computer vision models.
• Experience in handling and processing large datasets, especially image data.
• Knowledge of data augmentation techniques and understanding of different image formats.
• Experience in integrating AI models into larger systems.
• Familiarity with containerization technologies.

Additional Qualifications

• Experience in deploying vision defect detection in manufacturing industries.
• Advanced degrees (Master’s or PhD) in fields related to computer vision or machine learning.
• Experience with SQL.
• Experience with CUDA libraries.
• Experience with commercial vision software packages Experience with statistical testing and / or conducting measurement system analysis.
• Experience with edge computing devices for deploying vision models in a low-latency environment.
• Experience in nondestructive testing.
• Experience with project management, especially agile.
• Experience with creating standardized training documents.

Physical Requirements / Work Environment

The physical requirements / work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.

Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.

While performing the duties of this job the employee is frequently required to remain stationary for extended periods, as well as move around inside of the office and the production floor.

The employee will frequently be required to operate a computer and other office machinery, as well as operate and inspect various machinery on the production floor.

In addition to an attractive wage, this position offers a competitive benefits package including Group Health and Life Insurance, Vision and Dental Insurance, a Flexible Benefits Plan, a 401(k) Retirement Plan with a company match, a Profit-Sharing Retirement Plan and other benefits.

This job description is subject to change at any time.