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.
Responsibilities
* Train deep learning models for information retrieval, classification and generation tasks
* Visualize and explore insurance claims data, such as repair invoices, forms, images, etc.
* Apply GenAI techniques for document understanding tasks
* Deploy trained models to production using Google Cloud Platform tooling
* Keep improving models/prompts through better data and code
Your profile
* 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 neural network architectures
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 transformer models from scratch (including 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.
We offer
* 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
Have we aroused your interest?
We are looking forward to your application!
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