This is a remote position.
Develop the backend and a frontend concept of an RFQ Decision Support Tool to reduce RFQ handling time and provide historical pricing insights.
Implement RFQ support logic (classification of supply parts, thresholding, fallback logic) and integrate an existing ML price prediction component.
Define and implement the data collection / preprocessing pipeline (historical POs + new RFQs), including retraining and data-flow documentation.
Possibly enrich the system with external data sources (e.g., conversion rates, inflation rates, energy costs) and support testing, documentation, and handover.
Technical degree in Computer Science, Data Science, Software Engineering, or similar.
Software engineering skills in backend development (APIs, database design, integrations), conceptualising frontends
Experience with Python and data processing pipelines; knowledge and ability to integrate ML models into production-like services.
Familiarity with cloud / compute environments and basic DevOps concepts is a plus.
English; German is a plus.
Strong analytical and problem-solving skills; ability to work independently in a small project team.
Flexible working hours
Detailed insights into the procurement process of a global company
Workload: ca. 30 - 60%
Start: ASAP / in the next weeks
Duration: 2.5 - 3 months
Location: Remote / Zurich
Salary: 40+ CHF/h

Brisanet Telecomunicações

Sigma Software Group

Tether.io

Nabu Casa

TransUnion

ETH juniors

ETH juniors

ETH juniors