20 beste Stellen als machine learning engineer (m/w/d) in berlin mitte, be – aktuell auf Personalsuche

Senior Machine Learning Engineer (ASR) (all)
Sonia —Berlin
- Vollzeit
- Informatik
- Master
- Machine Learning
Direkt bewerben
Senior Machine Learning Engineer, AI Platform
Smartly.io —Berlin
- Feiertagsarbeit
- Java
- Master
- AWS
Machine Learning Engineer
Remerge —Berlin
- Vollzeit
- Machine Learning
- Python
- Homeoffice-Möglichkeit
Direkt bewerben
Data Engineer, Fraud
Xcelirate —Berlin
- 98.000 € pro Jahr
- Vollzeit
- Homeoffice
- Datenbanken
- Bachelor
- Machine Learning
Direkt bewerben
Applied Scientist, Amazon Music - DISCO, Music DISCO
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Informatik
- Java
Machine Learning Engineer
Almedia —Berlin
- 80.000 € – 210.000 € pro Jahr
- Vollzeit
- Machine Learning
- Python
Senior Data Engineer on Databricks (m/w/d)
Würth IT GmbH —Berlin
- Azure
- Java
- SQL
- Flexible Arbeitszeiten
- Empfehlungsprogramm
Senior Applied Scientist, AWS Developer Tools Science
Amazon Web Services Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Java
- Master
- Flexible Arbeitszeiten
1 Tag
Data Engineer (Databricks)
wega Informatik —Berlin
- Vollzeit
- Informatik
- AWS
- Machine Learning
AI Engineer (f/m/d) — Applied AI & Machine Learning
Lampenwelt GmbH —Berlin
- Master
- SQL
- Machine Learning
Senior Robotics ML Engineer
Realtime Robotics —Berlin
- Hybrides Arbeiten
- Microsoft Excel
- Doktorat
- Informatik
Direkt bewerben
9 Tage
Data Engineering Consultant - QuantumBlack, AI by McKinsey
McKinsey & Company —Berlin
- Azure
- Informatik
- SQL
Principal Applied Scientist / Lounge by Zalando (all genders)
Zalando —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Forschungserfahrung
- SQL
- Umzugskostenzuschuss
Data Science Consultant - QuantumBlack, AI by McKinsey
McKinsey & Company —Berlin
- Informatik
- Azure
- Informatik
ML Engineer
Reflow —Berlin
- Vollzeit
- Homeoffice
- Machine Learning
- Python
Direkt bewerben
Foundation and generative models for biomolecules
Inceptive —Berlin
- 200.000 € – 275.000 € pro Jahr
- Doktorat
- Informatik
- Forschungserfahrung
Archon Labs - Data Scientist
deCircle —Berlin
- Vollzeit
- Homeoffice
- Keine Berufserfahrung erforderlich
- Bachelor
- Machine Learning
Direkt bewerben
ML Ops Engineer
Zeta Global —Berlin
- Informatik
- Wartung
- Master
- Flexible Arbeitszeiten
Senior Applied Scientist (all genders)
Zalando —Berlin
- Vollzeit
- Hybrides Arbeiten
- Microsoft Excel
- Master
- SQL
- Umzugskostenzuschuss
Lead Data Scientist, Revenue - Ads, Revenue
Vinted —Berlin
- 90.100 € – 132.500 € pro Jahr
- Machine Learning
- Python
- Employee Assistance Program
- Mitgliedschaft im Fitnessstudio

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machine learning engineer (m/w/d) jobs near berlin mitte, be

Senior Machine Learning Engineer (ASR) (all)

Sonia
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

TensorFlow
Informatik
Kubernetes
Mehrsprachig
Master
Docker
Machine Learning
Deep learning
Python

Vollständige Stellenbeschreibung

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.

Ready to apply?

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!

I’m Margarita and will be guiding you through the application process.

About us

At Sonia, we’re building more than just a product — we’re building a team that helps doctors succeed with the power of AI. 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.

We believe teams thrive when different perspectives come together and work toward a shared goal. We welcome and respect everyone for who they are, regardless of origin, gender, age, religion, disability, or sexual identity. We’re excited to meet people from all backgrounds who want to bring their unique perspective to our mission.

Are you in?

Direkt bewerben

Erweiterte Suche

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Ich möchte aktuelle Job-E-Mails für Stellen als machine learning engineer (m/w/d) in berlin mitte, be erhalten

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