Data Science Expert

About Us

The IT Services (ITS) at ETH Zurich function as a pivotal service organization within a large and intricate IT ecosystem, focused on enhancing teaching, research, and knowledge transfer. In the ITS section, Scientific IT Services, the group Computational & Data Science Support (CDSS) is dedicated to bridging the gap between computational research and the provision of IT services and infrastructure.

Your Role

As a Data Science Expert specializing in GenAI technologies, you will contribute significantly to ETH's initiative aimed at developing a scalable and extensible "AI platform" designed for various services supporting teaching, research, and administration. Your responsibilities will encompass:

• Gathering requirements and conducting feasibility studies for GenAI solutions.
• Developing prototypes of GenAI workflows tailored to client specifications, including Retrieval Augmented Generation (RAG) bots and AI agents.
• Documenting and assisting in the integration of prototypes into ETH's AI platform.
• Investigating emerging technologies to enhance the platform.
• Contributing to machine learning projects across research and administrative domains.
• Preparing and presenting teaching materials on GenAI best practices and machine learning topics.
• Communicating effectively with diverse stakeholders, translating technical concepts to non-technical audiences.

Requirements

The ideal candidate will possess:

• A PhD degree in data or computational sciences, or a related field.
• Understanding of mathematical and numerical foundations of machine learning and statistical modeling.
• Proficiency in Python and familiarity with machine learning libraries, such as TensorFlow and PyTorch.
• Experience with GenAI architectures and tools for building language model applications.
• Experience in developing chatbots and conversational agents, including RAG systems.
• Knowledge of software engineering best practices including automated testing and version control.
• The ability to adapt methodologies for diverse scientific computing challenges.

Preferred Qualifications

Advantageous skills include:

• Understanding of prompt engineering techniques.
• Experience with cloud platforms and their machine learning services.
• Prior engagement with GenAI technologies in educational contexts.
• Familiarity with AI ethics and responsible AI practices.

Work Environment

The position is based in Zurich, with potential travel to other Swiss cities. Joining ETH Zurich means engaging in a unique opportunity to contribute to a cutting-edge AI platform that serves the diverse academic community. We provide a stimulating work environment, promoting knowledge sharing and professional development, along with flexible working models that support a healthy work-life balance.

Benefits

ETH Zurich prioritizes diversity and inclusion and encourages applications from all qualified individuals, particularly women. Employees can expect numerous benefits, including:

• Public transport season tickets and car-sharing options.
• A variety of sports activities through ASVZ.
• Childcare support and attractive pension benefits.
• A one-year contract with the possibility of renewal, subject to budgetary considerations.

Further Information

To learn more about Scientific IT Services and the exciting initiatives at ETH Zurich, additional information is available on our website.