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 develop a scalable solution that will generate email responses to incoming emails using LLM agentic frameworks (Langchain, Langgraph)
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

Our people are the driving force behind our organisation. We value the knowledge and expertise you bring. We believe that your temporary commitment can take our organization to a higher level. We offer you:

Competitive hourly rate depending on your knowledge and experience
An assignment until 31 March 2025
Hybrid way of working, party from home and partly from the office in The Hague
International working environment with loads of knowledge sharing

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. 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 and CI/CD
Experience in the use of agentic frameworks for LLM’s (Langchain & Langgraph)
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 several data scientists and a machine learning engineer. You will work closely with your fellow machine learning engineer. 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?

Do you have any questions about the job or the procedure? Please contact Nina Moekotte, recruiter external hires, via nina.moekotte@nn-group.com. Are you unsure whether you meet the criteria 100%? We would like to encourage you to apply anyway. We are curious about your unique qualities!