AI Engineer developing AI-powered features for smarter radiology reporting by implementing NLP solutions and collaborating with cross-functional teams.
Responsibilities
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
Requirements
Proven background in Machine Learning, specifically NLP
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 ML frameworks (e.g. PyTorch, Hugging Face, Tensor Flow)
Business fluency in English
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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