Machine Learning Engineer

You will join the AI for TDO team, part of the AI Excellence Center: an international, multidisciplinary environment focused on the application of data and AI within KPN's network and operations. The team combines expertise in machine learning, mathematics, data engineering, software engineering, and telecom domains. We value curiosity, pragmatic innovation, knowledge sharing, and constructive dissent. You will be given the space to shape solutions, learn from experienced specialists, and contribute to KPN's ambition to become more AI-native and work towards autonomous operations. 

• Designing, building, and maintaining end-to-end machine learning solutions: from problem definition and experimentation to deployment and lifecycle management. 

• Developing clean, testable, and maintainable production code, APIs, data and ML pipelines, and reusable components. 

• Operationalizing models and analytical capabilities by integrating them into business processes, IT landscapes, and data platforms. 

• Determining the solution architecture and infrastructure together with engineers, domain experts, and enterprise or domain architects. 

• Applying DevOps and MLOps principles, including automated testing, CI/CD, observability, monitoring, feedback loops, and responsibility for production. 

• Improving the reliability, scalability, robustness, and performance of existing AI solutions and pipelines. 

• Exploring new AI methods and engineering practices and actively sharing knowledge within the team and KPN's broader AI community. 

We will only consider candidates already residing in the Netherlands. 

You will work in multidisciplinary teams with data scientists, ML engineers, software and data engineers, network specialists, architects, and business stakeholders. Together, you will translate complex operational challenges into robust AI products and capabilities. 

You are analytically strong and move easily between a business problem, a model, and the surrounding software system. You take responsibility beyond the prototype, communicate clearly with technical and non-technical colleagues, and find it interesting to delve into the complexity of telecom networks. You make thoughtful engineering choices and know when to experiment, standardize, or simplify. 

Of course, as an employer, we also have a lot to offer you. This is what you get from us: 

• A gross monthly salary of at least € 5216 and at most € 7843 depending on your work experience, based on 40 hours 

• Fixed 13th month, part of which is paid monthly and part in January of the following year. Or, you can put it towards a FLEX & BOOST goal of your choice! Click here to read more about it 

• Annual individual and collective increases in accordance with our CAO 

• € 1500 per year in availability budget that you may use at your own discretion for, for example, training, coaching, and courses 

• Flexible days off: our colleagues may decide for themselves (in consultation with the manager) how they manage their leave 

• A good work-life balance (such as 2 days in the office, 3 days at home, transition leave, exchanging a public holiday for a holiday of your religious or cultural preference) 

• Home office workshop to optimally set up your workspace at home, naturally including a mobile phone & laptop 

• 50% discount on our products and services, so you can browse the internet, call, and stream affordably 

• Good travel allowance: you will receive full reimbursement for your public transport costs or € 0.23 per kilometer if you travel by car. Prefer to come by bike? Then you can claim our bicycle allowance of € 0.40 per kilometer 

• Possibility to purchase a lease bike that KPN contributes to monthly (with an indefinite contract): from city bike to e-bike and from racing bike to speed-pedelec; you choose what you ride 

• Excellent pension conditions: a total contribution of 25% of your pensionable salary, of which KPN contributes 17.5% and you 7.5% 

Our belief in technology is great. This becomes even more powerful together with human contact, which is why we would love to meet you!       

Do you want to know more? Contact our recruiter... via ...@kpn.com