Machine learning engineer

As part of the adesso Group, adesso health solutions GmbH is a leading provider of innovative software solutions for the German healthcare sector. We develop applications for a wide range of use cases, from portals for doctors to billing systems for statutory health insurance physician associations and claims review for health insurance companies.

• You design, develop and implement new machine learning models that enhance our software with intelligent capabilities, for example for the automated assessment of medical data, text classification or decision support in invoice auditing.
• You seamlessly integrate ML models into our product architecture, automate training and deployment pipelines, and ensure the traceability and maintainability of production models.
• You are responsible for continuously monitoring and improving model quality, performing retraining, and establishing metrics for model evaluation and optimization.
• You analyze medical and billing-related data, derive relevant features, and ensure data quality, consistency and security.
• You work closely with subject matter experts, product management and software development to embed AI-based features in our auditing software and create practical added value for health insurance companies and healthcare providers.

• Successfully completed a degree in computer science, data science, medical informatics or a comparable degree program with a technical focus.
• Several years of professional experience developing, implementing and maintaining production machine learning models, ideally in a regulated or data-driven environment such as healthcare, insurance or the public sector.
• Strong knowledge of Python and widely used ML frameworks (scikit-learn, TensorFlow, PyTorch), as well as experience with model evaluation and feature engineering.
• Experience with MLOps tools and processes (e.g. MLflow, Kubeflow), containerization (Docker) and CI/CD.
• Knowledge of data pipelines is required.
• Analytical thinking, strong problem-solving skills, an affinity for medical and regulatory topics, and the ability to explain complex AI concepts clearly and practically.
• Interest in new technologies and innovations (e.g. the use of LLMs).
• Very good German language skills (C1 level).

• We promote the health of our employees with sports subsidies, such as discounted gym memberships, covering court rental for activities such as badminton, padel tennis or football, and regular health check-ups.
• Our time-off program and flexible working models help you balance your professional and personal life.
• We support our employees in bringing family and work together through a range of offerings, such as holiday childcare, daycare partnerships, parent-child offices and events where the whole family is welcome.
• With more than 400 training courses and our digital learning platform, we support your ongoing development.
• Team events, welcome days, company runs and our buddy system strengthen our sense of community and help you feel part of the team from day one.
• Your commitment pays off with rewards for referrals, talks and supervising theses, as well as attractive discounts through our Corporate Benefits portal.
• JobRad offers, subsidies for the Deutschlandticket and the option to work remotely from another EU country for up to two months give you maximum flexibility.
• Our in-house independent insurance advisor and broker, alleato, is always on hand with personalized solutions for retirement planning or health insurance.