Stimulating. Motivating. Challenging.
Kudelski Internet of Things (IoT), a division of the Kudelski Group, designs and delivers security technologies and services to support companies across the IoT value chain in creating sustainably secure innovations. In addition, it delivers asset tracking solutions for automotive retail and other industries.
Location: Cheseaux, Switzerland
Mission
The primary objective of this internship project is to develop a mobile application that utilizes LLM techniques to enhance product awareness among employees. The app will provide instant access to product details, features, and capabilities, ensuring that employees are well-informed and capable of effectively communicating product information.
Responsibilities
The intern will be responsible for the following tasks:
1. Research and Analysis:
2. Conduct a thorough analysis of the company's product portfolio.
3. Identify key features and capabilities of each product.
4. Understand the requirements and expectations of employees in terms of product knowledge.
5. Application Development:
6. Design and develop a user-friendly mobile application for both Android and iOS platforms.
7. Integrate LLM techniques to provide detailed and accurate product information.
8. Implement a search function to allow employees to find specific product details easily.
9. Testing and Deployment:
10. Conduct thorough testing of the application to ensure functionality and user experience.
11. Deploy the application on the company’s internal platforms.
12. Provide documentation and training materials to support the use of the application.
Requirements / Profile
13. Educational Background: Enrolled in a master’s program in computer science, Information Technology, or related fields.
14. Technical Skills:
15. Proficiency in mobile app development for Android and iOS platforms.
16. Interest and knowledge of LLM techniques and frameworks (Prompt engineering, Retrieval Augmented Generation, LLM models including GPT’s, Embedding models, Langchain or Llamaindex, HuggingFace, .
17. Good experience working with scripting languages (., Shell, Python).
18. Familiarity with database management and cloud services (AWS services and Microsoft Azure OpenAI Service).
19. Team player, fluent in English, and ability to communicate complex LLM capabilities and limitations to non-technical stakeholders
Expected Deliverables:
20. A fully functional mobile application for both Android and iOS platforms.
21. Comprehensive documentation, including user manuals and technical documentation.
22. A report detailing the research and development process, challenges, and solutions implemented.
23. Training sessions or materials to educate employees on using the application effectively.
Benefits to the Intern:
24. Hands-on experience in mobile app development and LLM integration.
25. Opportunity to work on a real-world project with tangible business impact.
26. Exposure to the latest technologies and best practices in the industry.
27. Mentorship from experienced professionals in the field.
Reference: 14778
Publication Date: 08-08-2024