We are seeking a highly skilled and innovative Data Engineer to join a Bank in Switzerland and develop AI-driven pilot and production applications. The work will focus on delivering a new PoC from Middle Office to pilot and enhancing existing ones.

The ideal candidate will have a strong background in data science, machine learning, software engineering, and familiarity with both Back End and Front End technologies. A proven track record of developing and deploying Generative AI solutions is essential.

This role would require full relocation to Switzerland.

Duties:

Design AI application architectures and implement Python-based applications for various business use cases.
Design and implement testing and evaluation methodologies for AI applications, focusing on Large Language Model applications.
Collaborate with financial and business teams to understand the organization's financial structure and requirements.
Conduct data exploration and preprocessing to prepare large unstructured datasets for analysis and modelling.
Leverage Azure OpenAI APIs to implement AI applications, optimize their performance, and scale them effectively.
Develop APIs and interfaces for integrating AI models into existing systems and platforms.
Monitor, maintain, and update models as needed to ensure they continue to meet business needs.
Stay updated with the latest AI trends, technologies, and best practices, and explore new tools and techniques to improve project outcomes.

Requirements:

Around 5 years of experience as a Data Scientist/Engineer or similar role with a focus on machine learning and AI application development and deployment using Python.
Experience in developing services based on Large Language Models, with familiarity in using frameworks such as LangChain and LlamaIndex. Experience with prompt engineering.
Familiarity with vector databases (eg, ChromaDB, Weaviate).
Experience with Python libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, Pydantic, and requests.
Familiarity with cloud platforms like Azure, AWS, and their off-the-shelf AI functionalities.
Bachelor's degree in Computer Science, Data Science, Statistics, or a related field, or equivalent experience. (*)