Digital & AI Specialist - Intern null

Your role

Main Responsibilities:

System Development:

• Develop a knowledge management dialogue system based on Azure's OpenAI API
• Implement the RAG architecture to enhance the accuracy of response results
• Interface with relational databases (RDBMS) and PDF files to ensure effective data management and utilization

Technical Implementation:

• Use Python for system development, ensuring code efficiency and maintainability
• Utilize open-source architectures and Python packages (e.g., Transformers, LangChain) to implement system functionalities

Data Processing:

• Process and parse regulatory-related content from PDF files and integrate it into the knowledge base
• Ensure data accuracy and completeness to support the efficient operation of the system

System Optimization:

• Continuously optimize system performance to ensure response speed and accuracy
• Improve and expand system functionalities based on user feedback and test results

About you

To apply for this role, you need to have the following eligibilities:

Educational Background:

• Bachelor's student in Computer Science, Data Science, Artificial Intelligence, or related fields.

Technical Skills:

• Proficient in Python programming language, with practical project experience preferred
• Familiar with the Azure platform, particularly Azure's OpenAI API
• Understanding of large language models (LLM) and RAG architecture, with relevant project experience preferred
• Familiar with relational databases (e.g., MySQL, PostgreSQL) and SQL queries
• Experience in processing and parsing PDF files, and understanding relevant tools and technologies

Open-Source Tools and Packages:

• Familiar with open-source architectures and Python packages, such as Transformers, and LangChain
• Understanding of basic concepts and technologies in natural language processing (NLP) and machine learning

Soft Skills:

• Good communication skills and team cooperation spirit
• Ability to solve problems independently and complete tasks under guidance
• Good learning ability and initiative, able to quickly master new technologies and tools

Bonus Points:

• Experience in developing dialogue systems or knowledge management systems based on LLM
• Understanding of the processing and management of regulatory-related content
• Experience contributing to open-source projects

Benefits

If you join as a full-time employee after an internship, you will receive the following benefits:

• Competitive basic salary
• Performance rewards
• Training opportunities and learning resources
• Annual health checkups
• Insurance
• Financial health

Training & development

As an intern, you will assume responsibility for your projects, learn to play a proactive role, get a first-hand insight into the activities and processes, and find out what it’s like to work with colleagues and many different stakeholders. You'll have access to Roche's international network and various options for workplace and off-the-job training for your personal and professional development.

Career Progression

Roche intends to keep trained young professionals as employees and to offer them a position, if possible. If there is no permanent position after the successful completion of the vocational training, Roche offers a one-year temporary contract with a regular salary. During this year the young professionals can gain experience and at the same time look for a suitable position.

Sources

The following sources were used in researching this page:

• careers.roche.com/global/en/students-programmes
• careers.roche.com/cn/zh/your-wellbeing-matters
• careers.roche.com/cn/zh/rewards-recognition
• youtube.com/@roche