7 hours ago
Chengdu, ChinaIntern
Responsibilities
- Assist with developing and testing AI/ML models for manufacturing processes.
- Support data collection, preprocessing, analysis, solution integration, and deployment.
- Help troubleshoot deployed AI/ML solutions and monitor system performance.
- Assist with optimization, maintenance, and system updates.
- Support user training and knowledge transfer.
- Create technical documentation, user guides, process documentation, and training materials.
- Assist with project reports and presentations and document best practices and lessons learned.
Requirements
- Hold or be currently pursuing a master's degree in computer science, data science, computer engineering, or a related field.
- Have programming experience in Python, R, or similar languages.
- Have a basic understanding of machine learning concepts and algorithms.
- Be familiar with data analysis and visualization tools, databases, and data management principles.
- Understand the software development lifecycle.
- Demonstrate analytical, problem-solving, communication, collaboration, learning, and adaptability skills.
- Preferred: experience with manufacturing processes or industrial automation.
- Preferred: knowledge of TensorFlow, PyTorch, or scikit-learn.
- Preferred: familiarity with AWS, Azure, GCP, and Git.
- Preferred: understanding of statistical analysis and data mining techniques.
Benefits
- Minimum six-month commitment.
- On-site work model in Chengdu, China.
- Student/intern position on Shift 1 (China).
Categories
About Intel
Our mission is to shape the future of technology to help create a better future for the entire world, that’s the power of Intel Inside. With more ingenuity and creativity inside, our work is at the heart of countless innovations. From major breakthroughs to things that make everyday life better— they’re all powered by Intel technology. With a career at Intel, you can help make the future more wonderful for everyone. • Need help or have a support question? Visit Intel Support: http://ms.spr.ly/6054tmaop .
