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.
What impact do you have?- 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.
What do you offer?- Completed degree (university / university of applied science / higher technical college) • Computer Science or Data Science
- 3-5+ years • Working in an ML Team
- English (business fluent), German (excellent knowledge) •
- 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 BigQuery) and knowledge in data orchestration frameworks (e.g. Airflow).
- Knowledge of object-oriented programming (C#, Java) is required. You're comfortable working with the backend (.NET C#) to integrate models into the broader 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
What do we offer you?- Flexible working hours •
- Flexible workplace / working from home •
- Maternity/paternity leave •
- Mobile phone subscription •
- Employee offers •
- Holidays •
- Individual continuing training •
- Initial and continuing vocation training •
- Personal responsibility & freedom •
- Room to manoeuvre and decision-making •
Application & ContactElena Efimova
People Attraction Specialist
What impact do you have?- 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.
What do you offer?- Completed degree (university / university of applied science / higher technical college) • Computer Science or Data Science
- 3-5+ years • Working in an ML Team
- English (business fluent), German (excellent knowledge) •
- 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 BigQuery) and knowledge in data orchestration frameworks (e.g. Airflow).
- Knowledge of object-oriented programming (C#, Java) is required. You're comfortable working with the backend (.NET C#) to integrate models into the broader 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
What do you offer?- Completed degree (university / university of applied science / higher technical college) • Computer Science or Data Science
- 3-5+ years • Working in an ML Team
- English (business fluent), German (excellent knowledge) •
- 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 BigQuery) and knowledge in data orchestration frameworks (e.g. Airflow).
- Knowledge of object-oriented programming (C#, Java) is required. You're comfortable working with the backend (.NET C#) to integrate models into the broader 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