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Machine Learning Engineer

Vor 2 Tagen

Berlin, Berlin, Deutschland Sonia Vollzeit

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 (Data Engineering focus) (all)
to join our AI team to help advance the future of healthcare. You will be responsible for architecting and maintaining the high-quality data pipelines essential for training and running the 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

  • Data Strategy Ownership:
    Own the end-to-end data collection process, including quality control, sourcing, and annotation setup.
  • Dataset Curation:
    Collect and curate custom datasets, including setting up the annotation pipeline, quality control, and performing alignment/segmentation procedures.
  • Pipeline Architecture:
    Build and maintain scalable, robust data preprocessing workflows and ETL pipelines.
  • Model Evaluation:
    Evaluate state-of-the-art deep learning models against production data quality metrics.
  • Research & Experimentation:
    Design and conduct rigorous experiments to validate new models and data-driven methods.
  • Vendor Management:
    Work closely with external vendors to coordinate and standardize data collection efforts.
  • Cross-Functional Collaboration:
    Collaborate closely with product managers, other ML engineers, and developers to translate high-quality data and solutions into production.

You'll thrive in this role if you bring

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, with a strong focus on data engineering/ML data pipelines.
  • Programming & ETL:
    Strong programming skills in
    Python
    and experience with large-scale ETL frameworks (
    Spark, Kafka
    ) and
    SQL
    .
  • MLOps Monitoring:
    Experience with MLOps monitoring tools (
    MLflow, W&B
    ).
  • Analytical Skills:
    Strong analytical skills and good knowledge of statistical principles.
  • Data Governance:
    Strong grasp of data governance, quality control, and privacy best practices.

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.
  • ML Infrastructure:
    Familiarity with
    Docker
    and
    Kubernetes
    .
  • Language Skills:
    Proficiency in German/French/Italian is a plus.

Why you'll love working with us

  • Full ownership of impactful ML data pipelines 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 architecting robust data solutions 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?

Apply for this job