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

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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!

What You Will Do:

• Stakeholders include a team of engineers and data scientists. Enable the team with data acquisition, performance tuning and data processing.
• Builds data pipelines focusing on data ingestion, integration, modeling, optimization, and quality for AI processing. Architects and launches new data models (marts, lakes, stores, hubs). Optimizes costs, storage, processing, and access to integrated data.
• Explores data for pattern detection prior to algorithm development. Prepares and pre-processes data utilized in algorithms. Ensures data is formatted and cleansed for AI processing.
• Designs and develops data services for AI. Provides data to the team and enterprise toward the end goal of adopting AI.

What You Will Learn:

• You will utilize and learn core AI/ML Data engineering principles
• Communicating design and solutions to stakeholders
• Building and deploying solutions in an Agile team

Qualifications You Must Have:

• 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

Qualifications We Prefer:

• 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. Includes automation, continuous integration, and continuous deployment (Git, Docker, Jenkins).

Learn More and Apply Now!

Collins Aerospace, a Raytheon Technologies company, is a leader in technologically advanced and intelligent …