ML Engineer

### Job description Do you want to be the driving force behind KPN's digital transformation into a fully data-driven telecom provider? And do you want to be part of an ambitious and talented AI and data science team? Then this is your chance! As an ML Engineer, you play a crucial role in KPN's digital transformation. We are looking for someone who moves effortlessly between data science and engineering. You work closely with teams within and outside the Data & AI domain and translate complex challenges into scalable AI solutions. In doing so, you can rely on the expertise of your own team and other AI specialists within KPN. You enjoy taking on both the data science and engineering side of AI products and get energy from continuously improving existing solutions. What makes this role special is that you work on AI solutions that are used daily by millions of KPN customers and thousands of employees. You are involved in the full lifecycle: from experimentation and model development to implementation and management in production. In doing so, you get the space to actively contribute to KPN's AI transformation and turn innovative technologies into concrete solutions with visible impact. You work in a multidisciplinary Data & AI team with Data Scientists, ML Engineers and AI Translators. Together you develop innovative AI solutions that directly contribute to KPN's strategic ambitions. As an ML Engineer, you are responsible for: - Developing end-to-end AI solutions, from idea to production. - Identifying and realizing new opportunities in the field of 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 analytics teams. - Improving existing models and solutions. - Actively sharing knowledge within and outside the team. - Supporting colleagues in the areas of data science, engineering and tooling - Working according to DevOps principles and taking ownership of your solutions. At KPN, we believe that using our data in a scalable, robust and ethical way is an important pillar for our future success. The Data & AI team works on a broad range of data- and AI-driven projects, ranging from operational to commercial applications. All these projects aim to make a real difference for KPN's customers. Examples include improving customer routing in the call center, more personalized marketing, forecasting the number of incoming calls, and knowledge access via RAG (Retrieval-Augmented Generation). We use advanced technologies and the latest AI innovations to make these solutions possible. You are a curious and ambitious professional who wants to make an impact with data and AI. You feel at home in an environment where collaboration, ownership and innovation go hand in hand, and you know how to bring others along with your ideas. With your conceptual thinking, you translate complex challenges into smart, practical solutions that truly add value. You have a natural drive to improve, challenge the status quo, and see opportunities where others see obstacles. In addition, you are continuously looking for new knowledge and technologies, helping both yourself and your team keep growing. In addition, you bring the following: - About 5 years of experience in data science, machine learning engineering or a comparable field. - A completed master's degree (or comparable level) in, for example, Artificial Intelligence, Computer Science, Mathematics, Econometrics or Applied Physics. - A solid foundation in ML Engineering, from problem definition to implementation of solutions. - Experience developing and managing machine learning models. - Demonstrable experience with complex Machine Learning Engineering projects that go beyond standard solutions. - Good knowledge of Python, Git, Docker and CI/CD processes. - Excellent communication skills in English; knowledge of Dutch is a plus. 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 € 5,216 and up to € 7,843, depending on your work experience, based on 40 hours, excluding 8% holiday allowance - A fixed 13th month; part of it is paid monthly and part in January of the following year. Or you can put it toward a FLEX & BOOST goal of your choice! Click here to read more about it - Annual individual and collective salary increases in line with our CAO (collective labor agreement) - € 1,500 per year in employability budget that you may use at your own discretion, for example for training, coaching and courses - Flexible days off: our colleagues may decide for themselves (in consultation with their manager) how they handle leave - A good work-life balance (such as 2 days in the office, 3 days at home, transition leave, and holiday swapping to a holiday of your religious or cultural preference) - Home office workshop to optimally set up your workspace at home, including a mobile phone and laptop - 50% discount on our products and services, so you can internet, call and stream affordably - Good travel allowance: your public transport costs are fully reimbursed, or € 0.23 per kilometer if you travel by car. Prefer to cycle? Then you can claim our bicycle allowance of € 0.40 per kilometer - Possibility to purchase a lease bike to which KPN contributes monthly (with an indefinite-term 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 contribute 7.5% Our belief in technology is strong. It becomes even more powerful together with human contact, which is why we would love to meet you! Want to know more? Contact our recruiter Martine Bunschoten via [email protected]. At KPN we have recruitment talent that collaborates smartly and therefore wins. That is why solicitation in response to this vacancy is not appreciated.