Machine Learning Engineer, Rotterdam

• Connecting your world
  
  

It is one of the few places in the Netherlands where you can literally look out of the window and see your software have direct impact. You can help connect the Netherlands with the rest of the world. How you make this happen? That’s up to you. At Schiphol Group, we have confidence in your talents like finding a solution to every problem and the way in which you use them as Machine Learning Engineer in the Security & Safety Technology department.

• Nice to know (you)
  
  

Working as an ML Engineer in Schiphol offers a wide variety of challenges. Schiphol is a city of its own and that is reflected in the variety of data and use cases.

Together with 3,000 proud colleagues, we work towards our mission to be ‘the world’s most sustainable and high-quality airports’.

Be part of a pioneering team that transforms data into actionable insights, driving innovation and enhancing security at one of the world’s busiest airports.

You will work in a multidisciplinary data science product team developing security planning software catered to the unique environment of Schiphol. We expect you to take the team in tow and together take responsibility for the implementation, testing, and maintenance of these solutions on our Databricks and Kubernetes backed Data & AI platform. Additionally, you’ll be in close contact with other Machine Learning Engineers in different teams to learn from each other and productionize in a similar way.

Your Work Includes

– Translate technical needs of the AI team into structural solutions;

– Breakdown high-level requirements into prioritized actionable tasks;

– Collaborate with scientists and engineers on the product roadmap;

– Support and improve our software development lifecycle and best practices;

– Design, implement, and test cloud based (Azure, Databricks) data intensive applications;

– Collaborate with Solution Architects to provide optimal technical solutions.

• About the team
  
  

The Security Insights team is a group of dedicated professionals committed to developing cutting-edge data products that provide critical security insights. The team thrives on collaboration, creativity, and a shared passion for enhancing security through data-driven solutions. They work at the intersection of technology and security, leveraging advanced analytics and machine learning to deliver actionable intelligence.

As ML Engineer you’ll be taking a steering role in productionizing the solutions developed in your product team. Next to that you’ll be part of the AI Capability team consisting of 35 engineers and scientists. 80% of the work is done in your product (product) team, and 20% of your time you’ll contribute to & learn from the AI Capability team who create solutions in other parts of our organization.

In terms of tooling we work on Azure. Some examples of components in our stack include Databricks (PySpark), Python, Airflow, and OpenShift. For this role the focus is on Python & Databricks.

• You’ve got this:
  
  

– A Bachelors and/or a Masters degree in a relevant field (e.g. Computer Science, Mathematics, etc.).

– At least 3 years experience working with machine learning solutions including deployment and management in a production environment.

– At least 2 years experience with Databricks and (Py)Spark, building data & AI solutions.

– Experience with containerized application deployment technology, e.g. Kubernetes/OpenShift, Docker and Helm.

– Experience with declarative infra-as-code. Databricks Asset Bundles and Terraform are a plus.

– Experience creating monitoring and alerting solutions. Splunk is a plus.

– You have worked in an agile environment.

– You are fluent in English and Dutch is a pré.

For the safety of our passengers and colleagues, an AIVD security screening (VGB B civil aviation) is always part of the recruitment process.

Additional Information (1)

– A maximum of 1 candidates may be offered per supplier!

– A candidate may not be offered for multiple applications at the same time.

– Since the supply is expected to be large, feedback may be minimal, please take this into account..

De eisen

A candidate may not be offered for multiple applications at the same time.

A Bachelors and/or a Masters degree in a relevant field (e.g. Computer Science, Mathematics, etc.).

At least 3 years experience working with machine learning solutions including deployment and management in a production environment.

At least 2 years experience with Databricks and (Py)Spark, building data & AI solutions.

Experience with containerized application deployment technology, e.g. Kubernetes/OpenShift, Docker and Helm.

Experience with declarative infra-as-code. Databricks Asset Bundles and Terraform are a plus.

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