CHEP helps move more goods to more people, in more places than any other organization on earth via our 347 million pallets, crates and containers. We employ approximately 13,000 people and operate in 60 countries. Through our pioneering and sustainable share-and-reuse business model, the world’s biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact. 

What does that mean for you? You’ll join an international organization big enough to take you anywhere, and small enough to get you there sooner. You’ll help change how goods get to market and contribute to global sustainability. You’ll be empowered to bring your authentic self to work and be surrounded by diverse and driven professionals. And you can maximize your work-life balance and flexibility through our Hybrid Work Model.

Job Description

Key Responsibilities May Include:

• Provide continuous maintenance and troubleshooting support to service centers to ensure sustained automated vision inspection system performance
• Support vision inspection system quality performance and capability improvement programs
• Monitor and support automated inspection system performance, consistency and predictability
• Support automated machine vision and learning system integration for new development projects
• Work with wider teams to improve regional operations performance to achieve shared targets
• Work with wider teams to deploy and sustain defined best practices and continuous lessons learned

Position Purpose

CHEP has implemented advanced systems for automated quality inspection of its products, with this technology fully deployed and operational worldwide.

This resource will develop and drive any new projects associated with CHEP systems software, as well as new applications for new next-generation systems. The primary role will be:

• Design and develop computer vision and deep learning Windows-based applications in industrial environments related to object detection, object segmentation and activity/action detection, and ensure high performance and reliability.

• Dedicated to delivering Machine Vision and Machine Learning projects within the CHEP Supply Chain.

• Leverage deep expertise in Windows operating systems and multithreaded software architecture to drive innovative, cutting-edge solutions that enhance automated inspection capabilities.

Major/Key Accountabilities

• Lead the ideation, prototyping, and software development of Machine Vision and AI.

• Demonstrate expertise in solving computer vision problems.

• Develop deep learning and traditional machine learning algorithms for CHEP business.

• Design and develop scalable software architectures, promoting the best practices in code quality.

• Provide ongoing support for production systems, improving MV or ML algorithms on demand.

Measures

Delivery of Machine Vision and/or Machine Learning projects based on strategy and business need.

Scope

 Global to all CHEP Pallet business units

Challenges

• Utilizing existing hardware and images in addition to new image data gathering techniques to produce innovative image analysis models and algorithms.

• Development of ML approaches that improve the speed and accuracy of image algorithm development for inspection and quality control methods.

Qualifications

• MS or PhD in Computer Science or Engineering with specialization in computer vision and deep learning.

• Proficiency in Deep Learning frameworks (Tensorflow, Keras or Pytorch).

• Proficiency in Python and C++.

• Proficiency in implementing deep learning architectures for Image classification, Object detection and Object segmentation.

• Demonstrated experience in scientific research related to Computer vision and Deep learning.

• Scientific thinking and the ability to invent, implement, and