Job Description
The main goal of this internship is to explore the application of large language models to enhance various aspects of the software development of our ContiConnect product, including backend and frontend development, testing, documentation, design, and customer support. Through this internship, we aim to identify the most suitable language models for each purpose, implement them in real-world scenarios, and comprehensively evaluate their impact on the software development process.
Modern software development is a complex and multifaceted process that involves various stages and dimensions. While AI, particularly large language models, has shown promising results in specific areas of software development, there is a need to systematically assess their potential impact across different facets of the software development lifecycle. This internship addresses the challenge of selecting, implementing, and evaluating AI-powered solutions to enhance software development, in particular for our ContiConnect product, in a holistic manner.
Qualifications
1. Training Area in Computer Science or similar;
2. Programming: Proficiency in programming languages such as Python and familiarity with relevant frameworks for implementation of large language models (eg. Hugging Faces, PyTorch, Tensorflow).
3. AI: basic understanding of AI and Natural Language Processing (NLP) concepts, including familiarity with large language models like GPT-3, BERT, or similar.
4. Software Development Lifecycle: Basic knowledge of software development stages, including design, coding, testing, and documentation.
5. Communication: Strong communication skills to collaborate with cross-functional teams, including developers, designers, test engineers, product managers, and AI experts.
6. Analytical Skills: Ability to design experiments and analyze results to measure the impact of AI applications in software development.
Additional Information
7. Mandatory to be studying in a Portuguese University, ready to start Master Thesis Project.
8. To initiate on the 2nd Semester of 2024-2025.