At Royal Schiphol Group we have established a Data, AI & Analytics department (DnA), tasked with accelerating our group-wide transition to a truly data-driven organization. This department also oversees the strategic use of AI across the Royal Schiphol Group to identify growth opportunities and areas for innovation with new data products and services.
As senior ML Engineer you’ll be taking a steering role in a dedicated MLE team consisting of 9 engineers. Part of the work is done in vertically integrated (product) teams, while another part consists of developing core solutions. Some of our use cases are:
- IRIS, a web tool used to support decision making three days ahead by predicting effects of proposed solutions on the airport;
- Predictive security waiting times for passengers on web and app;
- A deep-learning based event-detection system that processes camera images to give us insight into what is going on in the turnaround process.
In terms of tooling we work on Azure. Some examples of components in our stack include Airflow, Confluent Kafka, OpenShift and Databricks (PySpark/Scala).