ML Engineer

At KPN, we believe that scalable, robust, and ethical use of our data is a crucial pillar for our future success.

As a Machine Learning (ML) Engineer at KPN, you will play a vital role in the company's digital transformation.

You will work on a wide range of data-driven projects, from operational to commercial applications, that make a real difference for KPN customers.

Your responsibilities will include:

• Developing end-to-end AI solutions from idea to production
• Identifying and realizing new opportunities in Machine Learning, AI, and MLOps
• Designing and building machine learning models and algorithms across multiple complex projects
• Developing new AI capabilities for the business and analytical teams
• Improving existing models and solutions
• Actively sharing knowledge within and outside the team
• Supporting colleagues in data science, engineering, and tooling
• Working according to DevOps principles and taking ownership of your solutions

We are looking for someone with:

• Around 5 years of experience in data science, machine learning engineering, or a similar field
• A master's degree in Artificial Intelligence, Computer Science, Mathematics, Econometrics, or Applied Physics
• A solid foundation in ML Engineering, from problem definition to solution implementation
• Experience with developing and managing machine learning models
• Demonstrable experience with complex Machine Learning Engineering projects beyond standard solutions
• Good knowledge of Python, Git, Docker, and CI/CD processes
• Excellent communication skills in English; knowledge of Dutch is a plus

In return, we offer:

• A gross monthly salary of at least €5216 and €7843, depending on your experience
• A fixed 13th month, part of which is paid monthly and part in January of the following year
• Annual individual and collective increases according to our CAO
• €1500 per year in deployable budget for training, coaching, and courses
• Flexible vacation days
• A good work-life balance
• Home office support
• 50% discount on our products and services
• Good travel cost reimbursement
• Possibility to purchase a lease bike
• Excellent pension conditions