Machine learning engineer in telecom

As a Machine Learning Engineer at KPN, you translate advanced analytics and AI models into reliable, scalable solutions that deliver measurable impact for KPN. You work at the intersection of data science and software engineering: taking ideas from exploration to production and continuously improving them once they are live.

• Design, build and maintain end-to-end machine learning solutions: from problem definition and experimentation 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.
• Determine the solution architecture and infrastructure together with engineers, domain experts, and enterprise or domain architects.
• Apply DevOps and MLOps principles, including automated testing, CI/CD, observability, monitoring, feedback loops and ownership of production.
• 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 the wider KPN AI community.

• We will only consider candidates already residing in the Netherlands.
• You are analytically strong and move easily between a business problem, a model and the software system around it.
• You take responsibility beyond the prototype and communicate clearly with technical and non-technical colleagues.
• You are interested in exploring the complexity of telecom networks.
• You make considered engineering choices and know when to experiment, standardize or simplify.
• A completed master's degree, or equivalent professional experience and academic level, in Artificial Intelligence, Computer Science, mathematics, econometrics, engineering physics or a related discipline.
• Extensive experience in 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; experience with Azure, AWS, Kubernetes, Dataiku DSS or ETL tooling.
• Будет плюсом: Proficiency in Dutch and experience in the telecom sector are a plus

• A gross monthly salary of at least €5216 and at most €7843, depending on your work experience, based on a 40-hour week.
• A fixed 13th-month payment, part of which is paid monthly and part in January of the following year. Or you can use it for a FLEX & BOOST goal of your choice! Click here to read more.
• An annual individual and collective increase in accordance with our collective labor agreement.
• €1500 per year in employability budget, which you can use as you see fit for training, coaching and courses, for example.
• Flexible days off: our colleagues may decide for themselves, in consultation with their manager, how they take leave.
• A good work-life balance, such as 2 days in the office and 3 days at home, transition leave, and the option to swap a public holiday for one that reflects your religious or cultural preference.
• A home office shop to help you set up your workspace at home optimally, as well as a mobile phone and laptop.
• A 50% discount on our products and services, so you can enjoy internet, phone and streaming at a lower price.
• Good travel expense reimbursement: your public transport costs are fully reimbursed, or you receive €0.23 per kilometer if you travel by car. Prefer to cycle? You can claim our bicycle allowance of €0.40 per kilometer.
• The option to purchase a lease bicycle, with KPN contributing monthly, if you have a permanent contract. From city bikes to e-bikes and from road bikes to speed pedelecs; you choose what you ride.
• Excellent pension terms: a total contribution of 25% of your pensionable salary, of which KPN contributes 17.5% and you contribute 7.5%.