Machine Learning Engineer

• A job for 40 hours per week;

• A market-conform salary of max. € 6500 gross per month;

• 25 vacation days (possibility to purchase additional vacation days);

• 8% holiday allowance;

• Pension with an employer contribution of 7.5%;

• NS Businesscard / Km allowance;

• A budget to further develop yourself;

• An arrangement where you can choose your own laptop;

• A monthly phone allowance and a home office allowance;

• Tuesday and Thursday are work-from-home days at our company. On Monday, Wednesday, and Friday, we provide a pleasant communal lunch at the office. 

• Regular drinks and other team outings. 

Do you want to contribute directly to smarter inland shipping through your work? To expand our autonomous sailing team, we are looking for an experienced machine learning engineer. Together with your colleagues, you are responsible for the development of our autonomous products. You are involved from A to Z, from concept and development to the testing and successful implementation of new features.

• You process data from various sensors to create a good representation of the ship and its environment;

• You develop ship models that predict the behavior of the ship;

• You build models that predict fuel consumption;

• You develop modules that determine the route planning for the ship;

• You are in contact with captains to gather feedback and analyze malfunctions. Based on this information, you look for improvements and, of course, propose them;

• You work closely with the technical team to together reach the best developments for our products. Your direct colleagues are our autonomy engineers, data engineers, Front End developers, and UX designer.

• Extensive experience with Python and SQL

• Machine learning tools such as: SK-learn and TensorFlow

• You have previously worked with Docker and GIT

• You are familiar with signal processing techniques such as Kalman filtering

• You have experience with MLOps. 

• You have previously been involved in monitoring performance, version control, and maintaining libraries;

• Experience with a cloud platform such as GCP or Azure is desired;

• Possibly you have experience with CI/CD tools. 

You are very curious by nature and love to continuously challenge yourself. You get enthusiastic about gathering feedback, in order to make our products even better. Translating complex problems into simple solutions is right up your alley. And of course, you are a pleasant, cheerful colleague who enjoys working towards the same goal as all other ST colleagues. Namely: Every Ship a Smart Ship!