You will conceive, develop, and implement new machine learning models to intelligently expand software, for example for automated evaluation of medical data, text classification, or decision support in invoice verification
Job Summary
You will conceive, develop, and implement new machine learning models to intelligently expand software, for example for automated evaluation of medical data, text classification, or decision support in invoice verification.
You will integrate ML models seamlessly into the product architecture, automate training and deployment pipelines, and ensure the traceability and maintainability of productive models.
You will work closely with subject matter experts, product management, and software development to embed AI-based functions into audit software and create practical added value for health insurance companies and service providers.
Matching Summary
You will conceive, develop, and implement new machine learning models to intelligently expand software, for example for automated evaluation of medical data, text classification, or decision support in invoice verification.
Skills & Requirements
Must-have
Python and ML frameworks
Model evaluation and feature engineering
MLOps tools and processes
Containerization and CI/CD
Data pipelines knowledge
Medical and billing data analysis
Nice-to-have
Interdisciplinary collaboration skills
Interest in new technologies like LLMs
Communicating complex AI concepts
Affinity for medical/regulatory questions
Key Requirements
Several years of professional experience
Experience in regulated or data-driven environments