Machine Learning Engineer (NLP)
Job Description
Join an innovative team dedicated to transforming healthcare through advanced AI technologies. As a Machine Learning Engineer specializing in Natural Language Processing, you will play a crucial role in enhancing the efficiency of healthcare systems and improving patient care. Your primary focus will be on developing and optimizing speech recognition systems that are utilized by healthcare professionals on a daily basis. This position offers a hybrid work environment, allowing you to work from our offices in Berlin or Luxembourg, or remotely from anywhere in Germany or Luxembourg. If you are a proactive individual who thrives in collaborative settings and seeks to make a substantial impact in the healthcare sector, we invite you to be part of our mission.
Key Responsibilities
As a key member of our AI team, your responsibilities will include optimizing and deploying NLP models, conducting experiments, and collaborating across teams to translate solutions into production.
- Fine-tune, evaluate, and deploy state-of-the-art NLP models
- Implement NLP techniques for text processing and analysis
- Collaborate with the MLOps team for continuous model training
- Design and conduct experiments to validate new methods
- Build and maintain language preprocessing workflows
- Work closely with product managers and developers to implement solutions
Required Technical Skills
Soft Skills
Qualifications
- Master’s degree in Computer Science, Engineering, or a related technical field
- Equivalent industry experience is acceptable
Language Requirements
Programming Languages:
Python, PyTorch, Hugging Face Transformers, NLTK, spaCy
Spoken Languages:
English, German, French, Italian
Benefits & Perks
- ✓ Full ownership of impactful ML components
- ✓ Collaborative team environment
- ✓ Flexible working arrangements (remote or hybrid)
- ✓ 30 days of annual vacation
- ✓ Competitive salary based on experience
Working Conditions
Full Time
Company Culture
We foster an inclusive culture where diverse perspectives are valued, and collaboration is encouraged. Our team is passionate about creating innovative solutions and enjoys a dynamic work environment.
Salary Range
Project Types: Not Available
Career Growth: Career growth through continuous learning, Access to leadership and mentorship programs