(Starterfunction for Computer Sciences, Information Science, Physics, Mathematics)
If you like to combine software engineering with data science, then a role as Machine learning Engineer might be something for you. As a ML engineer you work closely together with data scientist, to help them to put their ML models in production, take care of the data infrastructure and help them with coding.
Who we are:
Xccelerated trains, connects and accelerates highly-skilled data engineers to become authorities in their field. For you this means you get 60+ days of training and the possibility to put your training into practice immediately at one of our partner organizations such as Nuon, ING and Heineken.
We are proudly part of Xebia Group, together with companies such as Godatadriven and Binx. Our services address big data and data science, cloud infrastructure and software development.
Your first year:
You will start the first month with an immersive, full-time, bootcamp. During this first month some of the topics that we cover in our training are: writing maintainable code; Docker; continues integration and continues delivery; working in a cloud environment; building data intensive and distributed systems; building batch or streaming processes; Hadoop; Spark; Kafka
After the first month, you are ready to work directly on a client project. During this time, you will come back to the Xccelerated offiice every week for project guidance and extra training on different subjects, both in data engineering and in soft-skills. After twelve months you can permanently join the client’s team and continue your career there.
Why Xccelerated is for you:
We offer you:
We’d love to hear from you! The next group of ML Engineers will start on September 1st. Please contact Samantha Alves Goncalves through email@example.com or by phone at 0613889770.