AI/ML Data Engineering Intern (Summer 2025)(Remote)

Arinc International Of Canada Ulc - McFarland, WI

Full-time - Intern

Remote - McFarland, WI

10,001+ employees

About the position

Step into the future with our Artificial Intelligence team at the Digital Technology (DT) central function, where you'll be at the forefront of machine learning and AI-driven services. As an AI Data Engineering Intern, you'll work alongside other engineers and end users to unlock hidden insights and drive the adoption of emerging technologies. You'll be instrumental in scaling our machine learning capabilities across the enterprise, developing and supporting innovative AI applications that revolutionize how we interact with algorithms. Join us to transform not just our business, but the entire landscape of digital technology, with cutting-edge solutions that offer a competitive edge and solve real-world problems. Get ready to help Redefine Aerospace with AI!

Responsibilities

• Enable the team with data acquisition, performance tuning and data processing.
• Build data pipelines focusing on data ingestion, integration, modeling, optimization, and quality for AI processing.
• Architect and launch new data models (marts, lakes, stores, hubs).
• Optimize costs, storage, processing, and access to integrated data.
• Explore data for pattern detection prior to algorithm development.
• Prepare and pre-process data utilized in algorithms.
• Ensure data is formatted and cleansed for AI processing.
• Design and develop data services for AI.
• Provide data to the team and enterprise toward the end goal of adopting AI.

Requirements

• Requires a High School Diploma or equivalent and student must be pursuing a Bachelor's or advanced degree in an applicable discipline.
• U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Nice-to-haves

• Hands-on knowledge building and operating AI/ML platforms.
• Knowledge in environments that use data to support artificial intelligence and/or machine learning is desired.
• Proficiency in tools used to manage data throughout its lifecycle, especially tools that are applicable to large, complex, and distributed organizations.
• Show an understanding of cloud-based (e.g., AWS, Azure) technology for developing data solutions, including automation, continuous integration, and continuous deployment (Git, Docker, Jenkins).

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• Short-term disability
• Long-term disability
• 401(k) match
• Flexible spending accounts
• Flexible work schedules
• Employee assistance program
• Employee Scholar Program
• Parental leave
• Paid time off
• Holidays