Job description

At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient’s mobility is enhanced by a Zimmer Biomet product or technology every 8 seconds. As a Zimmer Biomet team member, you will share in our commitment to providing mobility and renewed life to people around the world. To support our talent team, we focus on development opportunities, robust employee resource groups (ERGs), a flexible working environment, location specific competitive total rewards, wellness incentives and a culture of recognition and performance awards. We are committed to creating an environment where every team member feels included, respected, empowered and recognised. What You Can Expect Join the Artificial Intelligence Product Management team at Zimmer Biomet and get hands on experience building a with AI in a regulated life sciences environment. This internship offers direct exposure to modern AI engineering, AI product development, and AI enablement. You will work alongside Product Managers (PMs) and report directly to the Manager of AI Solutions, contributing to production systems that serve business domains across Zimmer Biomet. The centerpiece of this internship is leading the build of an internal AI Product. How You'll Create Impact • Lead the product management of an AI Product • Contribute to AI Product workflows, including provisioning, setup, configuration and deployment using infrastructure as code (Pulumi). • Assist with platform observability, including building UIs and reports supporting the core AI Product • AI agent enablement work, including semantic view definition, AI Agent configuration, and testing AI capabilities in real company workflows. • Write and maintain product documentation, knowledge base articles, and operational runbooks that enable domain teams to work with the product independently. • Participate in architecture discussions and team planning, gaining exposure to how product decisions are made in a regulated enterprise environment. • Learn and apply Artificial Intelligence principles including domain ownership, governance, and product lifecycle management. What Makes You Stand Out • Pursuing a degree in Computer Science, Data Science, Information Systems, or a related field • Familiarity with Python and SQL (coursework or projects) • Interest in cloud AI products, data platforms, data engineering, or data product development • Familiarity with Streamlit, Flask, or similar Python web frameworks is a plus but not required. • Familiarity with AI and machine learning • Strong written communication skills and comfort with documentation • Self-starter who can take ownership of a project and drive it forward with guidance. Your Background • Must be actively enrolled in an academic program for the entire duration of the assignment • Bachelor's or Master's program in databases, cloud computing, or software engineering • Junior or Senior standing in a technical degree program • Must be available to work full-time (40 hours/week) throughout the co-op session • Must be authorized to work in the U.S. without requiring employer sponsorship Travel Expectations None EOE/M/F/Vet/Disability

Requirements

Must-haves

What You Can Expect
How You'll Create Impact
Lead the product management of an AI Product
Contribute to AI Product workflows, including provisioning, setup, configuration and deployment using infrastructure as code (Pulumi).
Assist with platform observability, including building UIs and reports supporting the core AI Product
AI agent enablement work, including semantic view definition, AI Agent configuration, and testing AI capabilities in real company workflows.
Write and maintain product documentation, knowledge base articles, and operational runbooks that enable domain teams to work with the product independently.
Participate in architecture discussions and team planning, gaining exposure to how product decisions are made in a regulated enterprise environment.
Learn and apply Artificial Intelligence principles including domain ownership, governance, and product lifecycle management.
What Makes You Stand Out
Pursuing a degree in Computer Science, Data Science, Information Systems, or a related field
Familiarity with Python and SQL (coursework or projects)
Interest in cloud AI products, data platforms, data engineering, or data product development
Familiarity with AI and machine learning
Strong written communication skills and comfort with documentation
Self-starter who can take ownership of a project and drive it forward with guidance.
Must be actively enrolled in an academic program for the entire duration of the assignment
Bachelor's or Master's program in databases, cloud computing, or software engineering
Junior or Senior standing in a technical degree program
Must be available to work full-time (40 hours/week) throughout the co-op session
Must be authorized to work in the U.S. without requiring employer sponsorship
Travel Expectations
EOE/M/F/Vet/Disability

Nice-to-haves

Familiarity with Streamlit, Flask, or similar Python web frameworks is a plus but not required.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonsqlmachine learning

Platform: phenom
Effort: medium

Benefits

Benefits detected in the listing.

Vision

Wellness