AI-Driven IT Intern: Build Production Automation

Notre Dame; Bloomington (IN); On-site; USD 25,000 - 30,000; Full time

Benefits offered by this job

Housing stipend

401(k) options available

Mentor and capstone presentation

Onsite fitness center and cafeteria

Job summary

Notre Dame in Bloomington, IN invites you to a 12-week paid AI internship joining the Global IT team. You will gain hands-on experience by contributing to AI projects and deploying automation that reduces manual work in business processes.

You'll prototype AI across IT capabilities, utilize the data estate for insights, and collaborate on research, innovation, and responsible AI, while receiving mentorship and opportunities to present a capstone at the end.

Qualifications

• Strong programming skills in Python and ML frameworks (TensorFlow, PyTorch).
• Basic understanding of ML algorithms, neural networks, and deep learning.
• Familiarity with data preprocessing, feature engineering, and data analysis.
• Excellent problem-solving, communication, and teamwork to work both independently and with others.
• Interest in Life Sciences and ability to collaborate across disciplines.

Responsibilities

• Gain practical experience and contribute to AI projects within the IT team.
• Design and build AI-driven automation deployed into production.
• Prototype and apply AI across IT capabilities to enhance service levels.
• Leverage the data estate to deliver insights and analytics for IT and business decisions.
• Support research, innovation and responsible AI while building documentation.

Skills

Python

ML basics

Data preprocessing

Teamwork

Communication

Learning mindset

Education

Undergrad student (Jr/Sr)

Recent graduate (Spring)

Tools

TensorFlow

PyTorch

Scikit-learn

Pandas

Job description

Notre Dame in Bloomington, IN invites you to a 12-week paid AI internship joining the Global IT team. You will gain hands-on experience by contributing to AI projects and deploying automation that reduces manual work in business processes.

You'll prototype AI across IT capabilities, utilize the data estate for insights, and collaborate on research, innovation, and responsible AI, while receiving mentorship and opportunities to present a capstone at the end.