Avery Dennison (NYSE:AVY) is a global materials science and digital identification solutions company that provides a wide range of branding and information solutions that optimize labor and supply chain efficiency, reduce waste, advance sustainability, circularity and transparency, and better connect brands and consumers.
Our products and solutions include labeling and functional materials, radio frequency identification (RFID) inlays and tags, software applications that connect thy physical and digital, and a variety of products and solutions that enhance branded packaging and carry or display information that improves the customer experience. Serving an array of industries worldwide - including home and personal care, apparel, general retail, e-commerce, logistics food and grocery, pharmaceuticals and automotive - we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2023 were $8.4 billion. Learn more at www.averydennison.com.
Technology Technician to support the implementation, maintenance, and monitoring of our AI models and systems. This position will be crucial in ensuring our AI projects run smoothly, troubleshooting technical issues, and working with our development teams to keep our technology performing at its best.
- System Maintenance & Support: Install, configure, and maintain hardware and software for AI systems, including servers, GPUs, and specialized AI frameworks (e.g., TensorFlow, PyTorch).
- Troubleshooting & Debugging: Diagnose and resolve technical issues related to AI models and infrastructure, ensuring minimal downtime and optimal performance.
- Project Execution: Assist with the deployment of AI models into production environments, working closely with AI Engineers and Data Scientists to ensure smooth integration.
- Performance Monitoring: Monitor the performance of AI systems, analyze data logs, and report on key metrics to identify potential problems and opportunities for improvement.
- Data Management: Support data collection, cleaning, and preprocessing tasks to prepare data for model training and validation.
- Collaboration: Work collaboratively with cross-functional teams, including R&D, software engineering, and product management, to understand project requirements and deliver on technical goals.
- Documentation: Maintain clear and concise technical documentation for all processes, configurations, and troubleshooting procedures.
- Others Tasks as supervisor required.
Please send your resume via [email protected]
