Georgia-Pacific - Atlanta, GA

posted 2 months ago

Full-time - Mid Level
Hybrid - Atlanta, GA
10,001+ employees
Wood Product Manufacturing

About the position

At Gia-Pacific, we are seeking an experienced Computer Vision Engineer to join our Data Science team at the Collaboration & Support Center in Atlanta, GA. This hybrid position allows for three days a week in the office, where you will play a crucial role in supporting our manufacturing operations through the development and deployment of innovative computer vision solutions. You will work closely with business partners and engineers to create scalable statistical, machine learning, and deep learning models that enhance the safety, efficiency, and optimization of our facilities. As a Computer Vision Engineer, you will take ownership of analytics projects from inception to completion. This includes pursuing innovative ideas, developing models, communicating actionable insights, and implementing solutions that capture value. You will collaborate with various engineering teams, focusing on end-to-end solution development and scaling to address operational and commercial challenges. Your ability to build minimum viable products will be essential, as the focus will be on solving the majority of issues rather than perfecting solutions unless critical to safety. Independence and self-management are key traits we are looking for in a candidate. The ideal candidate will have a strong background in computer vision, with at least two years of experience in relevant technologies and methodologies. You will be expected to creatively apply machine learning techniques beyond academic datasets, utilizing programming languages such as Python, R, or SAS. Your experience should also include deploying models to production with successful outcomes for users, ensuring that our solutions are not only effective but also practical in real-world applications.

Responsibilities

  • Own all aspects of analytics projects from start to finish, including pursuing innovative ideas, developing models, and implementing solutions.
  • Work with various engineering teams to develop and scale end-to-end solutions focused on manufacturing and commercial challenges.
  • Develop and maintain relationships with key business partners to enable improved decision-making.
  • Focus on building minimum viable products to address the majority of issues, prioritizing safety when necessary.
  • Operate independently and self-manage throughout project lifecycles.

Requirements

  • 2+ years of experience with Computer Vision.
  • 2+ years of experience with Morphological Operations.
  • 2+ years of experience with OpenCV.
  • 2+ years of experience with Git.
  • 2+ years of experience with Deep Learning, with familiarity in ResNet or YOLO.
  • 2+ years of experience creatively applying machine learning techniques using a formal programming language (Python, R, or SAS).
  • Experience in data science with models deployed to production and successful outcomes for users.

Nice-to-haves

  • Bachelor's Degree or higher in a field related to data science such as Engineering, Mathematics, Business Analytics, Statistics, Computer Science, or Data Science.
  • Master's Degree or higher in a field related to data science such as Data Science, Mathematics, Engineering, Statistics, Computer Science, or Business Analytics.
  • Experience with containerization.
  • Experience with cloud computing (AWS).
  • Experience working with Manufacturing Operations or Consumer Packaged Goods.
  • Experience working with IoT data.

Benefits

  • Medical, dental, and vision insurance.
  • Flexible spending and health savings accounts.
  • Life insurance and AD&D coverage.
  • Disability insurance.
  • Retirement plan options.
  • Paid vacation and time off.
  • Educational assistance programs.
  • Infertility assistance and paid parental leave.
  • Adoption assistance.
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