AI Engineer designing and building frameworks for dynamic interactions with public health data. Collaborating with teams to ensure compliance and optimize performance in AI systems.
About the role
- 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
- Competitive compensation and benefits package
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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