Senior Machine Learning Engineer (ASR) (all)

Sonia Solutions; München; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Remote-friendly

30 days vacation

Hybrid work option

Zusammenfassung

Sonia Solutions in Germany seeks a seasoned Machine Learning Engineer (ASR) to advance speech recognition in healthcare. You will develop, fine-tune, and deploy models, collaborating with clinicians to bring production-ready solutions to life.

The role emphasizes data curation, audio pipelines, and experiments in noisy, domain-specific settings. Remote-friendly with hybrid options in Germany.

Qualifikationen

• Master’s degree in Computer Science or Engineering.
• 5–8+ years of ML engineering experience.
• Strong Python production coding and model deployment.
• ASR experience with Whisper, wav2vec, VAD, diarisation.
• Experience with transformer-based DL models.
• MLOps fundamentals (Docker, MLflow, W&B, DVC, Kubernetes).

Aufgaben

• ASR model development, fine-tuning, evaluation, deployment.
• Data curation and annotation pipelines.
• Build robust audio data pipelines and preprocessing.
• Collaborate with MLOps to train, monitor, deploy models.
• Design experiments to improve accuracy in medical settings.
• Collaborate with product managers to translate speech solutions into tools.

Kenntnisse

Python

PyTorch

TensorFlow

Jax

ASR

VAD

Diarisation

Transformer models

MLOps basics

Ausbildung

Master’s degree in Computer Science or Engineering

Tools

Docker

MLflow

Weights & Biases

DVC

Kubernetes

Jobbeschreibung

Let me introduce...

With Sonia, doctors are successful doctors. 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. You will be at the forefront of developing the speech recognition systems that power real-world applications used by clinicians every day.

Location: Preferably Hybrid (Luxembourg or Berlin) or Remote (Germany or Luxembourg).

This is what you’ll own

• ASR Model Development: Fine-tune, evaluate, and deploy state-of-the-art models in speech recognition and audio processing (e.g., Whisper, wav2vec).
• 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.
• Cross-Functional Impact: Collaborate with product managers and developers to translate complex speech solutions into production-ready healthcare tools.

You’ll thrive in this role if you bring

Must Haves

• Education: Master’s degree in Computer Science or Engineering.
• Experience: Typically 5-8+ years of experience in ML engineering.
• Technical Proficiency: Strong programming skills in Python (working with production code and deploying models in production) and ML frameworks (PyTorch, TensorFlow or Jax).
• ASR Expertise: Direct experience with ASR models (Whisper, wav2vec, …), VAD, alignment and diarisation, and complex speech/audio processing pipelines.
• Deep Learning: Extensive experience with transformer-based architectures and deep learning models.
• MLOps Foundation: Practical experience with MLOps pipeline components such as Docker, MLflow, W&B, DVC, or Kubernetes.

Nice to Have

• Domain Knowledge: Knowledge of multilingual or domain-specific modeling (specifically medical, legal, or other specialized terminologies).
• Scalability: Experience with distributed training systems for large-scale model optimization.
• Language Skills: Full proficiency in English and German.

Why you’ll love working with us

• Full ownership of impactful ML components in a fast-growing AI environment.
• A collaborative team that values curiosity, learning, and pragmatic problem-solving.
• Flexible working arrangements (remote or hybrid).
• 30 days of annual vacation.
• Competitive salary depending on experience.
• The chance to work on products that directly shape the future of healthcare.