Machine Learning Engineer (NLP) (all)

Machine Learning Engineer (NLP) – all

Overview

At Sonia we build AI solutions that help doctors succeed. The Machine Learning Engineer (NLP) will work on speech recognition systems powering real‑world applications used by clinicians daily. The role can be performed in a hybrid setup from our offices in Luxembourg or Berlin, or remotely from anywhere in Germany or Luxembourg.

Key Responsibilities

• 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.

Required Qualifications

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

Preferred Qualifications

• Domain knowledge in multilingual or domain‑specific language modeling (medical/legal and other specialized fields).
• Experience with distributed training systems.
• Knowledge of Kubernetes.
• English full proficiency; German/French/Italian is a plus.

Why Work 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.
• 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.

About Us

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