Descripción
\*\*Your responsibilities\*\* \* Designing, building and running ML workflows to build and improve our product catalog \* Building evaluation sets and validation logic that catch quality problems before customers do \* You stay up\\-to\\-date with emerging technologies and industry trends ( latest LLM developments) to continuously enhance our solution \* Improving the tooling our team relies on, so the next workflow is quicker to build than the last \*\*Your skills\*\* \* Several years of professional experience in data science or machine learning, with a higher education degree in a data\\-focused field (ETH/UNI/FH) \* Strong Python, plus SQL you are comfortable writing against large tables \* Hands\\-on experience with an orchestrator such as Airflow or Dagster \* Practical experience running ML Models over large datasets, including prompt design, cost control and validation of the results \* Experience with BigQuery or a comparable cloud data warehouse, ideally on GCP \* Fluent English; German is a plus. \* A willingness to challenge \<\\> and propose more efficient, automated or effective solutions \* Using creativity and initiative to solve problems and achieve goals \* The capacity to adapt to ongoing changes in the work environment \*\*Why start with us?\*\* \* \*\*Values, not empty words:\*\* Cooperative, innovative, piratesque, responsible, ambitious -- these five values are what we practise and preach. \* \*\*Courageous thinking:\*\* We encourage everyone to think on their feet, and love it when they come up with bold or edgy ideas. \* \*\*Uncomplicated approach\*\*: Simplicity is at our core. We avoid the unnecessary and focus on what really matters -- from overcoming challenges to celebrating our shared successes. \* \*\*Flexibility and freedom:\*\* We offer working\\-from\\-home options, up to 8 weeks of workation, and every position is possible with an 80% workload. \* \*\*Rapid growth:\*\* With us, growth is a continuous journey. We also support