(Senior) Machine Learning Engineer, Healthcare
Sonia
About the role
About Us
We create and deploy AI-enhanced solutions that make doctors’ lives easier, patients’ care better, and healthcare systems more efficient. If you’re an intrinsically motivated self-starter who values impactful work, join us in revolutionizing healthcare.
We’re looking for a Machine Learning Engineer (ASR) to join our AI team. Preferably Hybrid (Luxembourg or Berlin) or Remote (Germany or Luxembourg).
To grow and shape the future of healthcare, we’re looking for people who want to create, challenge, and collaborate — and have fun while doing it.
Responsibilities
- ASR Model Development: Fine-tune, evaluate, and deploy state-of-the-art models in speech recognition and audio processing.
- Data Curation & Annotation: Collect and curate custom ASR datasets, including data sourcing, annotation pipeline setup, quality control, and alignment/segmentation procedures.
- Audio Pipelines: Build and maintain robust data pipelines and audio preprocessing workflows for clinical environments.
- MLOps Collaboration: Work closely with the MLOps team to ensure continuous training, monitoring, and seamless deployment of models in production.
- Experimentation: Design and conduct experiments to validate new approaches, datasets, and architectures to improve accuracy in noisy or specialized medical settings.
Requirements
- Master’s degree in Computer Science or Engineering.
- Strong programming skills in Python (working with production code and deploying models in production) and ML frameworks (PyTorch, TensorFlow or Jax).
- Direct experience with ASR models (Whisper, wav2vec, …), VAD, alignment and diarisation, and complex speech/audio processing pipelines.
- Knowledge of multilingual or domain-specific modeling (specifically medical, legal, or other specialized terminologies).
- Full proficiency in English and German.
What We Offer
- Flexible working arrangements (remote or hybrid).
- 30 days of annual vacation.
- Competitive salary depending on experience.
If you’re passionate about Machine Learning and want to make an impact in healthcare with cutting-edge AI technologies, we’d love to hear from you!
Requirements
- Strong programming skills in Python ( working with production code and deploying models in production) and ML frameworks ( PyTorch , TensorFlow or Jax).
- Direct experience with ASR models (Whisper, wav2vec, …), VAD, alignment and diarisation, and complex speech/audio processing pipelines.
- Knowledge of multilingual or domain-specific modeling (specifically medical , legal, or other specialized terminologies).
- Full proficiency in English and German.
Responsibilities
- Collect and curate custom ASR datasets, including data sourcing, annotation pipeline setup, quality control, and alignment/segmentation procedures.
- Build and maintain robust data pipelines and audio preprocessing workflows for clinical environments.
- Work closely with the MLOps team to ensure continuous training, monitoring, and seamless deployment of models in production.
- Design and conduct experiments to validate new approaches, datasets, and architectures to improve accuracy in noisy or specialized medical settings.
Benefits
Skills
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