Senior AI Engineer helping to shape intelligent reporting solutions in healthcare. Integrating AI/NLP technologies into clinical workflows for improved efficiency and diagnostic quality.
Responsibilities
Drive the design and implementation of AI/NLP features for clinical reporting in close collaboration with product and engineering teams.
Build and integrate LLM-based systems into our product suite.
Fine-tune and evaluate models using approaches such as LoRA, instruction tuning, and parameter-efficient tuning.
Apply classical NLP techniques (e.g., BERT, NER, text classification) where appropriate.
Translate research and theory into practical applications in production.
Collaborate cross-functionally with engineers, clinicians, and product teams.
Mentor and support software developers to grow AI/ML skills across the company.
Requirements
Strong background in Machine Learning, specifically NLP.
Hands-on experience with LLM-based systems, e.g. fine-tuning and prompt engineering.
Familiarity with transformer-based models (e.g., BERT, RoBERTa, GPT, T5).
Proficiency in Python and machine learning frameworks (e.g., PyTorch, Hugging Face, TensorFlow).
Experience developing production-grade ML/NLP pipelines, including monitoring and validation.
Ideally, experience with modern web tooling (e.g., Typescript, React).
Ideally, prior exposure to healthcare or radiology-related data/workflows and their challenges.
Strong interpersonal skills and ability to communicate clearly with non-AI experts.
Fluent in English; German is a plus but not required.
Benefits
Opportunity to work on impactful healthcare applications used in real clinical workflows.
A dynamic, supportive, and international work environment.
Flat hierarchies and room to take ownership of projects.
Individual development budget to support your professional growth
Flexible working hours and up to 100% Remote work possible within Germany
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