Machine Learning Engineer

Through your machine learning solutions, you create simplified processes for our customers and help us establish ourselves as 'digital first'.

With a solution-oriented and active mindset, you come up with technical solutions, using AI models. Through your solutions, the data team and the AI team create more business value. In addition to creating business value, knowledge transfer and coaching are also an important part of your job. The goal is to take the engineering skills of your fellow data scientists to the next level, among other things by following best practices.

What you are going to do

You are able to take the lead in devising and designing AI-driven applications. We are currently mainly building state-of-the-art applications with (OpenAI's GPT) LLMs. An important point of attention here is that everything is secure, scalable and repeatable. You will work closely with the Data Scientists to improve the Machine Learning Lifecycle. The focus is on code quality, CI/CD, testing and monitoring. Security is an important part of your application and you are aware of the compliance rules within NN. If you would love to experience an overlap of AI, Software and Data Engineering in your work, then this is your place.

• You will further develop a platform solution that is able to classify incoming emails and attachments at scale
• You bring AI models (data products) to production, for example in the form of APIs
• You develop and maintain the machine learning infrastructure, fitting into the NN landscape
• You develop AI applications based on CI/CD, high-quality code, testing and monitoring

What we offer you
NN invests in an inclusive, inspiring work environment and in skills and competences for the future. We match this with employee benefits that are in line with what is needed today and in the future. This way, we offer our employees the opportunity to get the best out of themselves. We offer you:

• Salary between €4,414 and €6,306 depending on your knowledge and experience This is based on 40 hours per week. It’s also possible to work 36 or 38 hours per week.
• 13th month and holiday allowance are paid with your monthly salary
• 27 vacation days for a 5-day working week and one Diversity Day
• A modern pension administered by BeFrank
• Plenty of training and learning opportunities
• NS Business Card 2nd class, which gives you unlimited travel, also privately. Do you prefer to travel with your own transport? Then you can declare the kilometers travelled
• Allowances for setting up your home office and for internet use

Who you are

You find it important to bring well-designed applications to production with low maintenance. Furthermore, you enjoy sharing your knowledge with others. You like to take the time to take your colleagues along in your steps and explain things to them. Your open attitude and strong communication skills help enormously with this. Good command of the Dutch language is preferred and you currently reside in the Netherlands. Furthermore, you have:

• A bachelor's or master's degree in IT or a study with a strong IT component, with at least 3 years of work experience
• Experience in the field of Software/DevOps engineering and developing ML applications
• Working knowledge of the data science process, such as data collection, cleaning, model review, and model implementation
• Experience in developing (Flask) APIs, Azure Function Apps and CI/CD
• Experience with building applications in the Azure Cloud, Docker & Terraform

Who you will work with

You will be working in our Competence Center, where we work on applications for the business through projects. Your team includes data scientists and machine learning engineers. We also work with various end-to-end teams, all of which exchange specialist knowledge. In this way, we work very efficiently on scalable solutions. In this process, we learn a lot from each other. Our ambition is to become even better at AI.

Together we work on state-of-the-art solutions, in Python and in the (Azure) cloud. In your work, you experience a lot of freedom and responsibility. That ensures that you continue to grow. In the team we work hybrid, where we meet together at the office at least once a week.

Any questions?

If you have any questions about the job, you can reach out via email to Michael Groen, Manager Advanced Analytics & Artificial Intelligence via, [email protected]. Any questions about the process can be directed to Hilde Diemel, Talent Acquisition Specialist via ,[email protected].