Where: Cargoful S.r.l., Milano, Italy
Contract Type: Full Time, Hybrid (Remote/Office)
Link: https://cargoful.tech/
Our story
Cargoful is a young software start-up that wants to elevate supply chains to the level they should be at. We are a team of young and international professionals coming from top companies and research centres (MIT, McKinsey, NASA, London Business School, Leonardo, Politecnico di Milano, Sant’Anna), we are backed by leading institutions from the Silicon Valley (Berkeley SkyDeck) and Italy (s2capital, B4i) and driven by a strong will to make things happen.
We are looking for individuals to join us in building the supply chain tech of the future.
Responsibilities
Our new team member will work directly with our Chief Analytics Officer, and in collaboration with the rest of the engineering team, to design, create and deploy Optimization and Machine Learning algorithms.
Examples of activities you will perform
- Optimize large scale combinatorial problems using Operations Research algorithms (metaheuristics, genetic algorithms or exact methods).
- Create geo-spatial forecasting models to predict demand for last-mile deliveries.
- Build datapipeline to extract insights from vast amounts of GPS datapoints.
- Develop custom clustering algorithms to speed up optimization model.
- Collaborate closely with the Software Engineering team to deploy all model in production within a real Web Application.
Application instructions
To apply, please email your CV and a brief introduction of yourself to cosmo@cargoful.tech.
Company page: https://cargoful.tech/
Contact: Cosmo Valentino cosmo@cargoful.tech