Description

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