PropertyExpert is the technology and development partner of the insurance and real estate industry. The concept for success is based on the intelligent linking of man and machine: digital processes and AI-based document verification combined with human expertise.

Based on millions of data records from the document review, our technology experts develop modular end-to-end and predictive solutions around the claims process, enabling the efficient and at the same time customer-oriented handling of property damages. Our mission is clearly defined: to work together with clients to get smarter - claim by claim.

• Train deep learning models for information retrieval, classification und generation tasks
• Visualize and exlpore insurance claims data, such as repair invoices, formulars, images etc.
• Apply GenAI techniques for document understanding tasks
• Deploy trained modes to production using Google Cloud Platform tooling
• Keep improving models/prompts through better data and code
• Out stack: Python, PyTorch, Transformers, GPTs, SQL, mongodb, FastAPI, Docker, GCP, dash, streamlit

• Masters Degree in Computer Science or other quantitative discipline
• Solid understanding of machine learning algorithms & principles
• At least three years of experience with Python (Scikit-learn, Pandas, Numpy)
• At least two years of experience designing, implementing, and training deep NN architecture

Desired skillset

• Degree with a focus on deep learning and NLP tasks would be a plus
• Ability to write code based on published papers would be desirable
• Experience in training transformers models from scratch (incl. pre-training)
• Experience in self-supervised machine learning
• Familiarity with creating standalone microservices
• Experience with public cloud infrastructure (GCP, AWS or Azure)
• Experience with data visualization using dash or streamlit

The current Research & Development Team consists of 6 team members

• A long-term position with a certified family-friendly, financially sound employer – something that has not changed in the pandemic
• Competitive pay, occupational retirement benefits, supplementary health and accident insurance that is fully employer-financed, bike-leasing
• A structured onboarding process and a personal mentor
• 30 days of vacation, flexible working times, self-managed working time, and working time accounts to ensure an optimum work-life balance
• Options for working from home/mobile working
• A real team spirit, flat hierarchies, an open-door policy, and an open error management culture