ML engineer in telecom

Would you like to be the driving force behind KPN's digital transformation into a fully data-driven telecom provider? And would you like 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 inside and outside the Data & AI domain and translate complex challenges into scalable AI solutions.

• 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 analytics 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.

• 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 know how to bring others along with your ideas. With your conceptual thinking, you translate complex challenges into smart, practical solutions that add real value. You have a natural drive to improve, challenge the status quo and see opportunities where others see obstacles.
• You are constantly looking for new knowledge and technologies, helping both yourself and your team continue to grow.
• Around 5 years of experience in data science, machine learning engineering or a comparable field.
• A completed master's degree (or equivalent 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.
• Будет плюсом: Knowledge of Dutch is a plus

• A gross monthly salary of at least €5216 and €7843, depending on your work experience, based on 40 hours, excluding 8% holiday allowance.
• 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!
• An annual individual and collective increase in accordance with our collective labor agreement.
• €1500 per year in a personal development budget that you can use as you wish, for example for training, coaching and courses.
• Flexible days off: our colleagues can 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 swapping a public holiday for one that reflects your religious or cultural preference.
• A home-working shop to set up your home workspace optimally, as well as a mobile phone and laptop.
• 50% off our products and services, so you can enjoy internet, phone and streaming at a lower cost.
• A good travel allowance: your public transport costs are fully reimbursed, or you receive €0.23 per kilometer if you travel by car. If you prefer to cycle, you can claim our bicycle allowance of €0.40 per kilometer.
• The option to purchase a lease bike, to which KPN contributes monthly, with a permanent contract. From city bikes to e-bikes and from racing 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%.