About Us

At Team Rockstars IT, we are more than a yellow-and-black flag on LinkedIn. We are a community of 700+ IT professionals making an impact on software, data, cloud and security. With clients from ASML to Zwijsen.

But what really makes us different?
Our philosophy: Disrupt the world of working with happiness.
We are not only about innovation, but also about freedom, autonomy and pleasure in your work. You determine your route, we make sure you can hit the ground running.

Whether you’re working on fraud detection in finance, predictive maintenance in industry or recommendation systems for e-commerce – you make sure the algorithm is not only smart, but also delivers real value.

what our ROCKTSTARS are saying.

“I find it very special how Rockstars manages to create a certain atmosphere that attracts people who really fit together. Everyone is a go-getter, good at their job, and above all, just very sociable. That community, that’s really what Rockstars is all about.” – Karen Beckers

“Currently, I am working through Team Rockstars as a Machine Learning Engineer at a bank. Here I am working on the implementation of a data science solution in which we use a modern ‘tech stack’. Both inside and outside the assignment, there are many opportunities to work on your personal and technical development. Because of the open culture and degree of freedom, you will quickly feel welcome.” – Dennis Broekhuizen

“I felt like ML engineer at Team Rockstars right at my place. People are very warm, approach you right away when they see you are new, and there is a friendly and energetic atmosphere. I have a lot of worked from home, but now I enjoy going to HQ on Fridays because it is so nice to see everyone again for a while, for fun and also to share knowledge.” – Nynke Niehof

The Role

As a Machine Learning Engineer, you bring smart models to life. You not only make sure they work in a Jupyter Notebook, but also perform in a production environment.

From raw data to running model in production – you build the bridge between algorithm and application. You know: a model is only one piece of the puzzle – only with the right infrastructure and data does everything fall into place.

At Team Rockstars IT, you’ll work on challenging projects at leading clients – from scale-ups to corporates. What exactly you will be doing depends on the project, but below is a sample of what our colleagues are working on right now:

  • Development of a secure and scalable platform for generative AI that allows LLMs to be deployed uniformly and reliably within the organization.
  • Develop and operationalize financial risk models at a bank, including integration into the existing IT architecture.
  • Implement models to predict a home’s energy label to better include sustainability considerations in a mortgage application.
  • Set up MLOps environment for a financial services company to run models scalably and manageably in production.
  • Automation of the process around notetaking and processing (client) interviews using AI, including automatic transcription and reporting.

You will also work with tools like MLflow, Kubeflow, Vertex AI, SageMaker or Azure ML, set up CI/CD pipelines for models, and interact intensively with data engineers, data scientists and business stakeholders to make real impact.

Who you are

You are a machine learning engineer who thinks in solutions, and builds with vision. You understand that technology and business go hand in hand. And that a model is not an end, but a means.

You have:

  • Minimum 3 years of experience in an ML engineering role
  • You have extensive experience with Python and with developing models with tools such as scikit-learn, TensorFlow, PyTorch or Hugging Face or similar libraries
  • Experience with (cloud) platforms such as GCP, AWS, Azure or Databricks
  • Understanding of CI/CD, MLOps and data pipelines (think technology such as Airflow, Terraform, dbt and Spark) and at least sniffed AI in a production environment
  • A healthy dose of curiosity, critical eye and humor

This is what we have to offer you

At Team Rockstars IT, it’s not about “just act normal.” We’re looking for people who take themselves seriously, but also want to have fun. That’s why with us you get:

  • A permanent contract and an annual salary between €75,000 – €130,000, depending on your experience
  • A mobility budget or lease car
  • Free choice of laptop, phone and standard home office allowance (including €50 net internet allowance )
  • Full project choice + transparent revenue model (70/30 arrangement)
  • Unlimited leave and possibility of workations
  • Access to our Rockademy: customized training, certifications and coaching
  • Be part of a data community within our chapters and tribe
  • Legendary events such as Rockstar Valley, team trips and monthly pampering moments at HQ