Building and integrating cloud API services within Azure and/or AWS environments, connecting internal tools and external data sources to support Videojet’s intelligent systems roadmap. Contributing to shared AI and software codebases using Git best practices—including branching, pull requests, and participating in peer code reviews. Collaborating with engineers and business stakeholders to gather requirements, understand operational needs, and translate them into clearly scoped technical tasks. Supporting backlog grooming and sprint planning activities, helping the team prioritize project work based on effort, impact, and stakeholder value. Prototyping and testing AI/ML model integrations relevant to Videojet’s product identification and marking solutions, documenting findings and recommendations. Participating in team stand-ups, design reviews, and retrospectives to develop your understanding of agile development workflows in a professional engineering environment.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Career Level
Intern
Education Level
No Education Listed