Vision Engineer

TAMKO Building Products•Tuscaloosa, AL

44d

About The Position

TAMKO 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. 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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.