At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As a summer intern on the MLOps team, you'll support the design and development of scalable systems that interact with AI models, assist in building CI/CD and data pipelines, and collaborate with cross-functional teams to align technical solutions with business goals. You'll contribute to the development of a Machine Learning Operations Platform that streamlines and automates the entire AI/ML lifecycle—from data management and model development to deployment across Stryker applications and devices. Potential projects include building a model catalog dashboard for model discovery and creating DevOps templates to accelerate solution development for targeted AI/ML use cases. The ML Operations Intern will focus on building systems and applications that interact with AI models in a cloud-native (Azure) environment. In this position, you'll be responsible for designing, developing, and maintaining software applications that flawlessly integrate with state-of-the-art AI and machine learning technologies. The ideal candidate will have a background in machine learning operations, software development best practices, and knowledge of programming languages, frameworks, and technologies. You will collaborate with other team members to drive innovation and ensure the successful delivery of high-quality software solutions.