Machine Learning Engineer

Amsterdam/Antwerp - The NPS (News Personalisation Squad) mission is to improve the relevance of our digital products for our customers by providing them with personalised experiences. Through our various channels (websites, apps, newsletters and push notifications) we aim to keep the user up to date with both the important news and the news they in particular are interested in. We are a team of Machine Learning Engineers, and Data Scientists that develop & maintain a collection of APIs that power all of our News brands. Our solution currently serves millions of recommendations per day in news products like hln.be, nu.nl and volkskrant.nl.

Our team is passionate about helping the users with our personalised recommendations and considers ethics as a primary concern. Working in the field of News Recommendation, we are very conscious of the impact we have on users' news diet and the content they are exposed to.

What you will be doing:

• Maintain and extend our Recommendation back-end.
• Maintain and set up data pipelines to guarantee data is ready for (near) real-time recommendation
• Support operational excellence through practices like code review and pair programming.
• Actively monitor different applications and their infrastructure as well as intervening to solve operational problems whenever they arise. The entire team is responsible for the operations of our services.

Do you have experience in Spark?, Do you have a Bachelor's degree?, * Degree in computer science, artificial intelligence, a related field, or relevant prior experience

• 4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Experience with data engineering
• Enjoys working on a variety of technologies and products
• Pre-existing knowledge or experience with machine learning modelling
• A natural interest in news

Technologies

• Our tech Stack: AWS, Kafka, Python, Docker, Spark, Kubeflow, FastAPI, MLFlow, Valkey, Qdrant
• Must Have: Python, Docker
• Good to have: AWS, Kafka, Spark

You will work alongside a team of ML Engineers on some of the most innovative ML applications in the region and industry. The company and your team members will actively support you to grow your skills and expertise. Our teams are based in Antwerp and Amsterdam. We work in an agile philosophy and are open to flexible working regimes. DPG Media is the local media champion, meaning you will work on some of the most impactful products around. We offer a competitive package in line with your experience and working regime. With us, you'll get an inspiring work environment that's constantly evolving. Colleagues who think in terms of possibilities, see the glass as half full, and we give you the chance to develop yourself every day. We do this, among other things, through our DPG Campus / DPG Academy. This gives you every opportunity to bring out the best in yourself and be a true media maker! A salary that matches your work experience. A 36-hour or 38-hour workweek (depending on location) 8% holiday pay and 4% personal choice budget Annual profit sharing based on DPG Media's performance Opportunities for development, both on the job and online through our DPG Academy / DPG Campus Opportunity to customize your own cultural holidays! Working hybrid from our Amsterdam or Antwerp office More reasons to want to work at DPG Media (NL) At DPG Media, we work for more than 90 strong news brands, magazines, TV shows, radio stations, and online services such as Qmusic, NU.nl, Tweakers, Libelle, VTM, and more. We reach over 90% of the Dutch population and 8 out of 10 Flemings every month. We offer you a professional work environment where we highly value freedom. We give you all the space to work on your future by offering workshops and training. Feel free to be an entrepreneur, a learner, and a team player with us, and most importantly, feel free to be yourself. At DPG Media, everyone is welcome. So, apply, regardless of your background. Over 5,500 smart colleagues are eager to welcome you into a team, whether it's a project team, a pub quiz team, or a sports team. Discover what we have to offer. And, while you're at it, you can also find us on LinkedIn and X.