CHEP helps move more goods to more people, in more places than any other organization on earth via our 300 million pallets, crates and containers. We employ 11,000 people and operate in more than 55 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
The purpose of this role is designing, implementing, and completing procedures and tools for continuous performance evaluation and testing of Machine Vision and Machine Learning (MV/ML) Inspection Applications,
within the scope of BAU Patching Integral Program. Additionally, this role will be responsible of any software development on MV/ML applications required to meet CHEP IT Security standards. MV/ML Automatic Inspection Systems are deployed globally in CHEP and Subco service centres network.
Major/Key Accountabilities
- Design, implement and complete Testing and Simulation procedures to be applied to the MV/ML Inspection Applications, to ensure proper operation and performance with new Cyber Security patches and tools regularly extended by BAU Patching program.
- Develop any software modification on existing MV/ML applications required to meet CHEP IT Security standards.
- Design and implement automated tools that will assist procedures for Testing and Simulation of MV/ML Inspection Applications.
- Create and complete new manual and automatic procedures and tools to gather Key Performance Indicators (KPIs) from MV/ML I
📌 Software Test Engineer (Madrid)
🏢 Chep
📍 Madrid