Machine Learning Engineer

You will join the AI for TDO team, part of the AI Excellence Center, an international, multidisciplinary environment focused on applying data and AI within KPN's network and operations.

The team combines expertise in machine learning, mathematics, data engineering, software engineering, and telecom domains.

Your responsibilities:

• Design, build, and maintain end-to-end machine learning solutions, from problem definition to deployment and lifecycle management.
• Develop clean, testable, and maintainable production code, APIs, data and ML pipelines, and reusable components.
• Operationalize models and analytical capabilities by integrating them into business processes, IT landscapes, and data platforms.
• Collaborate with engineers, domain experts, and architects to determine solution architecture and infrastructure.
• Apply DevOps and MLOps principles, including automated testing, CI/CD, observability, monitoring, feedback loops, and production responsibility.
• Improve the reliability, scalability, robustness, and performance of existing AI solutions and pipelines.
• Explore new AI methods and engineering practices, and actively share knowledge within the team and KPN's broader AI community.

Qualifications:

• Master's degree or equivalent in Artificial Intelligence, Computer Science, Mathematics, Econometrics, Technical Physics, or a related field.
• Extensive experience with machine learning engineering, software engineering, or data science, including building production-ready solutions.
• Strong Python skills and experience with Git, automated testing, APIs, containers, and CI/CD.
• Knowledge of end-to-end ML systems, including data pipelines, model serving, monitoring, lifecycle management, and feedback loops.
• Experience with cloud-native architectures and scalable services, such as Azure, AWS, Kubernetes, Dataiku DSS, or ETL tooling.
• Excellent English communication skills; proficiency in Dutch and experience in the telecom sector are preferred.

We offer:

• A gross monthly salary of at least €5216 and at most €7843, depending on your work experience, based on 40 hours.
• A fixed 13th month, part of which is paid monthly and part in January of the following year.
• Annual individual and collective increases conforming to our CAO.
• €1500 per year in deployable budget for training, coaching, and courses.
• Flexible vacation days.
• Good work-life balance.
• Home office setup support.
• 50% discount on our products and services.
• Good travel cost reimbursement.