DCP's AI Project aims to automate product approval and licensee audit processes, minimizing manual effort, ensuring compliance, accelerating time to market, and streamlining contract verification through an AI-powered platform.
Requirements
- Proficient in Java and Python
- Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as building and managing data pipelines
- Familiarity with relational databases and SQL
- Solid understanding of the software development lifecycle (SDLC)
- Coursework or Experience with large language model (LLM) and Retrieval-Augmented Generation (RAG)
- Exposure to cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Responsibilities
- Implement and test LLM-powered applications leveraging RAG pipelines for context-aware responses
- Develop and integrate data ingestion and vector database pipelines for document retrieval and semantic search
- Fine-tune or prompt-engineer foundation models (e.g., OpenAI, Gemini, etc.) for specific use cases
- Optimize retrieval performance, prompt efficiency, and response quality through experimentation and evaluation
Other
- Strong verbal and written communication skills in English
- Proven ability to collaborate effectively with cross-functional teams
- Enthusiasm for AI-driven automation and real-world product applications
- Currently enrolled undergraduate student in an accredited college/university, pursuing a Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Management Information Systems, Information Technology or related field.
- Be enrolled in an accredited college/university pursuing a degree taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program AND returning to school the semester/quarter following the internship OR currently participating in a Disney College Program or Disney Internship
