Overview:
The purpose of this internship is to prepare students for entry into the business world by providing a thorough understanding of the various functions of the Zebra Technologies organization. The program is
designed to provide students with experiences that provide insights into a career with Zebra. Students will be positioned for success with training and hands-on experiences, invited to social and development activities, and provided a professional mentor relationship.
Responsibilities:
Responsibilities
* Design, develop, test and implement AI models and solutions
* Work with cross functional teams to understand business challenges and identify opportunities for AI-powered solutions
* Data collection, cleansing and analysis of large datasets to train and validate AI models
* Build and demonstrate AI prototypes to stakeholders
* Research latest AI technology and machine learning and contribute in brainstorming workshops
* Document model design, processes, results and training materials
* Work on process optimization using Lead Six Sigma model
* Support in NPI pre-launch activities to ensure product readiness prior to launch (pricing, market assets, stocks, ramp campaigns)
* Support and participation in key project reviews with guidance from Regional Product Managers to help coordinate tasks, follow up on deadlines, and maintain project documentation
* Facilitate custom quotes for supplies product to aid in purchase request
Qualifications:
Qualifications
* Current enrollment in an undergraduate/graduate degree program in Computer Science/ Supply Chain or related field with coursework in Artificial Intelligence
* Proficient in programming, strong analytical and problem solving skills
* Intellectual curiosity with a strong desire to learn and grow
* Proven leadership and excellence in professional, academic, and/or extracurricular experiences
* Ability to collaborate with cross functional teams in different regions/time zones
* Effective verbal and written communication skills with ability to explain technical concepts to non-technical audience
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