Switzerland Job Openings

Digitec Galaxus AG

(Senior) ML Engineer / Software Engineer (f/m/d)

Zürich

FULL TIME & PART TIME

September 23, 2024

  • Zürich
  • 80% - 100%
  • Product Development
  • Englisch
Galaxus culture flows from our values: cooperative, innovative, piratesque, responsible, and ambitious. We give feedback straight-up granting everyone the power to own their actions and grow through epic wins and rough patches. “Grow with us. Be brave, stay true" is the mantra that inspires transparency, boosting a culture of openness and knowledge-sharing.
As the top Swiss e-commerce platform, with a crew of over 3,000 across Switzerland, Germany, and Serbia, Galaxus is on the move to new markets. We're on the lookout for characters who know that it’s diversity that gets us to grow and succeed. Being bold and out-of-the-box isn't just encouraged — it's basically our brand.
As a hybrid ML Engineer/Software Engineer at Digitec Galaxus, you work in a cross-functional Scrum team on a solution to automate the interpretation of PDF documents. You’re joining a team of six Software Engineers who are looking to expand their horizon towards ML solutions.
Deine Aufgaben
  • You’re part of a Software Engineering Scrum team working on Order Managment & Finance topics.
  • You take the lead in our team for the further training and improvment of our document interpretation ML model, as well as ensuring the model runs stable on prod.
  • You’re a product-minded engineer with the ability to identify new opportunities to raise the automation rate with ML solutions.
  • You’re eager to coach a team of software engineers curious to learn more about ML and actively share your knowledge.
  • You stay up-to-date with emerging technologies and industry trends to continuously enhance our ML models.
  • In this hybrid role, you’re also able to work on software engineering related topics with the support of the team.
Deine Fähigkeiten
  • Degree in computer science or data science (ETH/UNI/FH) or equivalent professional experience.
  • 3-5+ years experience working in an ML team (preferably on NLP topics).
  • You know Python better than your mother language.
  • You’ve had hands-on experience with ML libraries (pytorch, numpy, pandas, scikit-learn, transformers, etc) and you’ve shipped a couple of models to prod.
  • Solid SQL skills and experience working with a relational databases (bonus points if you’ve already worked with Google Big Query) and knowledge in data orchestration frameworks (e.g. Airflow).
  • Knowledge of object oriented programming (e.g. C#, Java) is required. You’re not shying away from getting your hands into the software backend part (.NET C#) to integrate your models in the wider software ecosystem.
  • Familiarity with MLOps technologies (e.g. GCP, Kubernetes, Docker, Terraform, etc.).
  • Identifying opportunities for improvements and implementing changes to enhance productivity and effectiveness.
  • The capacity to adapt to ongoing changes in the work environment.
  • Work proefficiency in English and German
Warum startest du bei uns?
  • Culture is Everything: Our values – cooperative, innovative, piratesque, responsible, and ambitious – form the foundation of our journey. Culture isn't just part of what we do; it's the essence of who we are.
  • Courage and Unconventionality: Your courage and innovative spirit are valued here. We challenge conventional wisdom, embracing those who dare to think differently.
  • Uncomplicated: Simplicity is at our core. We avoid the unnecessary, focusing on what truly matters – your development, our collective achievements, and tackling challenges with adaptability and resilience.
  • Flexibility and Freedom: We believe that innovation and creativity thrive in an environment where flexibility and freedom are prioritized. We offer home office options, up to 8 weeks of workation, and every position is available from 80-100%.
  • Fast Lane Growth: With us, growth is a continuous journey. You'll have opportunities to expand your horizons, both personally and professionally. To support this, we offer all employees up to 2'000 EDU-Points.
  • Other Benefits: Enjoy discounted employee conditions in our shops and much more.
We team up for Success
At Galaxus, we grow talent by teaming up with people from diverse backgrounds to build the best team out there. We stand for equal treatment and opportunities for everyone, no matter your ethnic or national origin, religion, sexual orientation, marital status, gender, gender identity, age, disability, or any other status. Diversity is our fuel for innovation and a culture of openness and collaboration. We welcome applicants from all backgrounds, experiences, and perspectives.

Arbeitssprache
Englisch
Arbeitspensum
80% - 100%
Standort
Digitec Galaxus AG
Pfingstweidstrasse 60b
CH-8005 Zürich

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