We are looking for a ML Engineer who will help us solve valuable business challenges for KLM’s Operations department, by building innovative data science and ML solutions. You will be working alongside Data Scientists and Machine Learning Engineers of the Operation Decision Support (ODS) department. The core focus of ODS is to optimize processes concerning fleet, crew, and ground services. Our models aim to answer highly relevant questions such as:
The answers to these questions directly influence the operations of KLM, which means plenty of opportunities to work on projects that truly save costs and/or increase revenue. Besides contributing to these exciting projects, there are opportunities to:
As a ML Engineer you will work in a growing agile Machine Learning team, currently consisting of 4 ML Engineers, 6 Data Scientists and 2 Business Consultants / Product Owners. The team is fully incorporated in the department and our models will be supporting and advising on an operational and tactical level. Important aspects of your job on a day-to-day basis will be to:
You are also encouraged and expected to spend 15-20 of your time with us learning new things, doing research and developing yourself. You can do this by following courses, reading papers or doing cool hack projects with your colleagues. The projects you do in your 15-20 time must be related to your role, but don’t have to be related to the projects you normally work on.
You will be working in a hybrid way, partially from home and partially from the office at Schiphol East, where you can watch the airplanes take off while your docker container is being built. We have flexible working hours and office days; hence we will find something that suits you.
The team is part of the larger Operations Decision Support (ODS) department, where you will also work closely together with other data teams that are specialized in Operational Research or Data Engineering, for example.
We are looking for a motivated, enthusiastic, and proactive colleague with the necessary skills to solve the real business problems and provide value to KLM.
We have found that people who match the following requirements are the ones who fit us best:
The skills and experience you bring to the team:
If your position allows this: working from home and working from abroad for up to 8 weeks (EU and Caribbean)
2 development budget to be spent freely
Plenty of room for personal development and great career opportunities
Substantial discount on airline tickets (if you have been employed for at least 6 months)
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Don’t wait any longer and apply for this function before the final boarding call on 06/03/2025! A motivation letter is no longer required; we will simply ask you a couple of questions during your online application. Within two weeks, you will receive a message from us. Your application procedure consists of two interviews and –possibly- an assessment and security research.Did you know that according to research, women are less likely to apply than men when they dont meet all the job requirements? What a shame. Because, in our view, the perfect candidate is a myth. So, if you have the drive to grow in aspects of this role, we look forward to your application.A file check (for ex-KLM-employees) and/or a reference check can be part of the application procedure. By applying for this vacancy you consent to these checks.
Do you think were a match?Start your journey with us here.
If you have any questions regarding this vacancy, contact our recruiter Lorenzo or hiring manager Tarik!This job has the following ID number: 19339