Machine Learning Engineer (Dutch-speaking)

SolliciterenSolliciteren
  • Amsterdam
  • Den Bosch
  • 32 - 40 hours
Machine Learning Engineer working

Work on challenging machine learning and data science projects with leading organisations.

We are looking for a Machine Learning Engineer who is fluent in the Dutch language, both verbally and in writing.

A job as a Machine Learning Engineer at Digital Power

As a Machine Learning Engineer, you’ll play a key role in developing and operationalising advanced AI solutions. You’ll collaborate with a team of driven data experts and have the freedom to apply your expertise where it truly makes an impact. You’ll also have continuous opportunities to learn, grow, and develop yourself within an innovative working environment.

What you’ll do

  • Implement scalable and reliable machine learning solutions in production environments.
  • Design, build, and optimise machine learning models for a variety of business cases.
  • Work with tools such as Databricks and cloud platforms like AWS, Azure, or GCP to host and manage machine learning solutions.
  • Integrate machine learning models into existing data pipelines and IT infrastructure.
  • Collaborate with data scientists, data engineers, and stakeholders to deliver the best possible solutions.
  • Monitor model performance and continuously improve based on new data and insights.
Data Engineer legt iets uitData Engineer legt iets uit
coachingsgesprekcoachingsgesprek
Collega's bij de bar in AmsterdamCollega's bij de bar in Amsterdam
Collega's aan het tafelvoetballenCollega's aan het tafelvoetballen
Engineer explaining the MLops loopEngineer explaining the MLops loop
Collega aan het coderenCollega aan het coderen

About you

Good to know

Currently, we are only hiring candidates who are authorized to work in The Netherlands at the time of their application. We are in the process of becoming a sponsor for non-EU citizens, however, we cannot make any promises at the moment. Also, you must live in the Netherlands during your employment at Digital Power.

Passionate about data

  • Strong analytical and problem-solving skills, with the ability to communicate clearly with both technical and non-technical stakeholders.
  • A genuine passion for data and a drive to make machine learning practical and valuable.

Required experience

  • A background in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Between 2 and 6 years of professional experience as a Data Engineer or in a similar role.
  • Knowledge of MLOps and experience deploying and maintaining ML models efficiently in production, including CI/CD, tracking, and monitoring.
  • Proficiency in Python and familiarity with frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience with cloud platforms (AWS, Azure, GCP) and data warehousing (Databricks, Snowflake).

What else?

  • You value knowledge sharing and enjoy helping others learn.
  • A positive team atmosphere is just as important to you as your technical work.
  • You get good energy from our Careers page.
  • You have a good command of both Dutch and English, spoken and written.
  • You hold a bachelor’s or master’s degree (HBO or WO level).

Don’t have all the technical skills yet but highly motivated to become a Machine Learning Engineer? Go ahead and apply! At Digital Power, there are plenty of opportunities to train and develop yourself.

Would you like to take on these kinds of machine learning challenges?

Scalable machine learning models thanks to MLOps framework implementation

After we built a data warehouse for Meerlanden, their data scientist began working with the data. We proposed setting up a Machine Learning Operations (MLOps) framework together, allowing them to integrate their models directly into the existing environment. This enabled them to make predictions that improved the efficiency of Meerlanden’s services.

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Using MLOps for fully automated and reliable sales forecasting

A global asset manager, specialising in Quant and Sustainable Investing, offers a range of investment strategies, including equities and bonds. To strengthen their competitive position and proactively respond to changing client needs and market developments, the sales and marketing department aimed to adopt a more data-driven approach.

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20% fewer complaints thanks to data-driven maintenance reports

An essential part of Otis's business operations is the maintenance of their elevators. To time this effectively and proactively inform customers about the status of their elevator, Otis wanted to implement continuous monitoring. They saw great potential in predictive maintenance and remote maintenance.

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A scalable machine-learning platform for predicting billboard impressions

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What we offer

  • A starting salary between €3,695 and €6,990 gross per month, depending on your knowledge and experience.
  • A community of 120+ data specialists, including 20 data and MLOps engineers, who support your professional growth.
  • The opportunity to mentor junior and mid-level colleagues in their development.
  • Access to dedicated learning environments in AWS, Azure, and GCP.
  • Training budget for obtaining additional certifications.
  • The freedom to set your own working hours.
  • Check out what else we offer here.

Be inspired about Machine Learning

Optimising Machine Learning inference with PySpark and Pandas UDFs

In the world of machine learning, working with large datasets and complex models can quickly become time-consuming and resource-intensive. To speed up this process, parallelisation becomes crucial. This technique involves breaking down tasks into smaller subtasks that can be processed simultaneously across multiple CPU cores or distributed machines within a cluster. By spreading out the workload, you can achieve faster and more efficient data processing on a large scale.

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What does a (Cloud) Data Engineer do versus a Machine Learning Engineer?

In the world of data and technology, Data Engineers and Machine Learning Engineers are crucial players. Both roles are essential for designing, building, and maintaining modern data infrastructures and advanced machine learning (ML) applications. In this blog, we focus specifically on the roles and responsibilities of a Data Engineer and Machine Learning Engineer.

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How does the AI Document Explorer work in practice?

The AI Document Explorer (AIDE) is a cloud solution developed by Digital Power that utilises OpenAI's GPT model. It can be deployed to quickly gain insights into company documents. AIDE securely indexes your files, enabling you to ask questions about your own documents. Not only does it provide you with the answers you are looking for, but it also references the locations where these answers are found.

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What is machine learning operations (MLOps)?

Bringing machine learning models to production has proven to be a complex task in practice. MLOps assists organisations that want to develop and maintain models themselves in ensuring the quality and continuity. Read this article and get answers to the most frequently asked questions on this topic.

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Wondering what it's like to work at Digital Power?

We listed all the important questions and answers for you.

view our FAQ

Want to know more about this role?

Tsovik will be happy to tell you more about our company, our team and the challenges we can offer you.