Senior Machine Learning Engineer (NLP) (all)

Sonia; Berlin; Hybrid; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

A healthcare AI company in Berlin seeks a Machine Learning Engineer (NLP) to enhance speech recognition systems used in healthcare. You will optimize and deploy NLP models, work collaboratively with cross-functional teams, and contribute to impactful AI products. A master's degree and 5-8 years of ML engineering experience are required, along with strong proficiency in Python and ML frameworks. The position offers a flexible hybrid working environment with competitive salary and benefits.

Leistungen

30 days of annual vacation

Competitive salary depending on experience

Flexible working arrangements

Qualifikationen

• 5-8+ years of experience in ML engineering or related fields.
• Experience with multilingual or domain-specific language modeling.
• Knowledge of Kubernetes is a plus.

Aufgaben

• Fine-tune, evaluate, and deploy NLP models.
• Apply NLP methods for text processing and analysis.
• Collaborate with MLOps team for model training.

Kenntnisse

Python

ML frameworks (PyTorch, Hugging Face Transformers, NLTK, spaCy)

NLP specialization

MLOps pipeline components (Docker, MLflow, W&B)

Deep learning language models

Ausbildung

Master's degree in Computer Science, Engineering, or a related field

Jobbeschreibung

Overview

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 (NLP) (all) to join our AI team to help advance the future of healthcare. You will work on speech recognition systems that power real-world applications used by clinicians every day.

This role can be performed in a hybrid setup from our offices in Luxembourg or Berlin, or remotely from anywhere in Germany or Luxembourg.

This Is What You’ll Own

• Model Optimization & Deployment: Fine-tune, evaluate, and deploy state-of-the-art NLP models.
• NLP Application: Apply NLP methods for text processing and analysis.
• MLOps Collaboration: Work with the MLOps team to ensure continuous training for models in production.
• Experimentation: Design and conduct experiments to validate new methods.
• Data Pipelining: Build and maintain language preprocessing workflows.
• Cross-Functional Impact: Collaborate closely with product managers, other ML engineers, and developers to translate the solutions into production.

Qualifications

Must Haves

• Education: Master’s degree in Computer Science, Engineering, or a related technical field or equivalent industry experience.
• Experience: Typically 5-8+ years of experience in ML engineering or related fields.
• Technical Proficiency: Strong programming skills in Python and ML frameworks (PyTorch, Hugging Face Transformers, NLTK, spaCy).
• NLP Specialization: Experience with deep learning language models, including transformers, NER, and tokenizers.
• Production ML Experience: Experience with MLOps pipeline components (Docker, MLflow, W&B).

Nice to Have

• Domain Knowledge: Knowledge of multilingual or domain-specific language modeling (medical/legal and other specialized fields).
• Scalability: Experience with distributed training systems.
• Orchestration: Knowledge of Kubernetes.
• Language Skills: English full proficiency, German/French/Italian is a plus.

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?