Machine Learning Traineeship

5 dagen geleden

Amsterdam Centrum, Nederland Aurai Voltijd

Start: To be announced

**About this traineeship**:
In the first eight weeks you will receive intensive training, delivered by seniors and a team of trainers, at our office in Amsterdam. The aim of this training is to prepare you for your first assignment as a Data Engineer and to improve your skills and required characteristics.

During the traineeship you will learn to work with different tools and technologies including: ML algorithms, MlFlow, Grafana, Prometheus, Linux, Docker, Kubernetes, Azure and AWS. During the first five weeks of training, you will start working on an up-to-date business case, provided by one of our partners. This gives you the opportunity to put your skills into practice right away.

Only eight weeks after the start of the training you will deliver your first prototype for your business case. Finally, you will work for one or more of our partners for 14 months. You can think of leading organizations such as CB, PostNL, Athlon and government institutions such as municipalities, provinces and water authorities.

**You**:

- hold a related Bachelor **and **Master degree in the field of Artificial Intelligence, Data Science or Computer Science
- have at least one year (fulltime) experience in data engineering
- are digitally skilled, solution-oriented and have a growth mindset
- take on intellectual challenges and has a strong dose of energy
- have a good command of the Dutch and English language, both orally and in writing
- are full-time available

**We offer**:

- eight weeks of paid technical training that are fully catered
- monthly training days with your fellow trainees
- a good salary that grows along with your development
- a company laptop
- work from home allowance
- an office in the heart of Amsterdam
- an NS Business Card (which you can use during the week to travel freely, also privately)
- 25 vacation days and 8% vacation allowance
- a nice pension scheme
- a professional team of Data Scientists and Data Engineers who help you one step further in your development
- inspiring trainers and guest speakers from the field

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