Software Engineer (AI projects and infrastructure) 60 - 80%

The Department of Finance (DF) at the University of Zurich pursues academic excellence, high-quality, modern teaching, and social relevance in its four core areas of Banking & Insurance, Corporate Finance, Financial Economics, and Quantitative Finance. With 20 professorships and over 160 employees, the DF is one of the leading finance departments in Europe.

In collaboration with the Teaching Development Department, we are seeking a dedicated individual for the position of Software Engineer with a focus on AI applications and infrastructure (30-50% Department of Finance, 30% Teaching Development). As part of our new engineering team, you will contribute to the development of innovative AI solutions and support pioneering research and teaching projects. We offer a dynamic, international environment with plenty of scope for creative ideas.

• In this versatile position, you will be responsible for the planning, development and implementation of AI-supported projects in research and teaching.
• They accompany the entire project life cycle from conception through development to operation.
• A significant part of your work involves integrating Large Language Models (LLMs) and other AI technologies into existing applications, as well as developing new AI-based solutions for scientific projects.
• You will also be responsible for the implementation and optimization of AI infrastructures. You will work with modern frameworks for developing AI applications, implement MLOps practices, and ensure the deployment of AI-based applications.
• In close collaboration with researchers and other stakeholders, you will identify requirements and develop AI solutions for specific use cases.

• You have a master's degree in computer science, data science or a related field with a focus on machine learning or artificial intelligence.
• We expect at least one year of professional experience in software development, preferably with a focus on AI applications.
• Solid knowledge of Python frameworks such as PyTorch or Transformers as well as experience in data preparation and integration of AI into existing systems are required.
• Knowledge of AI workflow automation, experience with cloud-based AI services, and basic knowledge of container technologies and MLOps are desirable.
• As an ideal candidate, you are characterized by independent work, strong problem-solving skills and a team-oriented approach.
• You communicate technical content clearly and understandably and have analytical thinking skills to optimize systems.
• The willingness to continuously learn and adapt to new technologies completes your profile.
• Very good knowledge of German and English is required.