Position: Data Scientist
Company: Bintime
Category: Data Science
Experience required: 3y
English level: upper

We are looking for а machine learning specialist who wants to contribute to make invoice processing even more automated, faster and easier for our customers. You implement state of the art machine learning and artificial intelligence (AI) technology in our SaaS platform and work on, among other things, improving our algorithms for invoice recognition, scoring booking proposals and detecting anomalies in invoices (anomaly detection).

**Preferred Qualifications**
- 2-3 years of demonstrable work experience in the field of AI/ML
- You can design, test, validate and implement machine learning algorithms in distributed cloud software.
- You have experience with applying machine learning in commercial software.
- You have a broad interest in machine learning, artificial intelligence and computer science, you like to learn and follow the best practices in the field.
- .NET ML is a plus
- Upper-Intermediate English 

**Responsibilities**
Improving the accuracy of our invoice recognition algorithm;
building new ML pipelines for various tasks requested by our users.
 
**About the company**
Zenvoices develops smart software solutions for invoice processing. Accountancy and administration offices, SMEs and non-profit organizations benefit daily from our solutions for robotic invoice processing, scan & recognition, UBL conversion, authorization management and purchase to pay. Zenvoices works with all well-known ERP and accounting packages, such as AFAS, e-Boekhoudt.nl, Exact Online, Exact Globe, King, Twinfield, SAP Business One, SnelStart, Reeleezee, Unit4 Multivers and Visma eAccounting.