Machine Learning Operations Engineer (Freelance)

We are building the next generation ML Ops system which is essential to deliver on NN Life & Pensions' strategic ambition to become data-driven. Are you interested in joining our team and contributing to our success? Then, read on!

What you are going to do

You will play a critical role in the development and deployment of ML and AI systems for our clients. Together with your ML Ops colleagues you are responsible for our Data Science platform on Azure. You make sure the platform is reliable and secure, models can be hosted and monitored, model lineage and governance is in place, data connections and pipelines are in order and we can integrate seamlessly with platforms and applications of other teams. In short, enabling the data scientists to effortlessly release ML and AI products to service our customers best.

What we offer you
Our people are the driving force behind our organization. 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 the end of this year (40 hours per week)
• Hybrid way of working, partly from home and partly from the office in Rotterdam
• International working environment with loads of knowledge sharing

We work hybrid at NN. Together with your team, you decide where, how and when you work. The official location of this job is Delftse Poort in Rotterdam.

Who you are

A medior level candidate with a passion for programming and engineering, highly motivated to keep learning and improving your skills. You can work autonomously and can communicate well. You have a structured approach to problem solving and a ‘can learn’ attitude.

In addition, you have the following experience:

• Proven experience in engineering with the Azure stack, with which you can build modular and testable platform components using Infra as Code. We use Bicep and PowerShell
• Demonstratable programming, testing and debugging experience, in Python
• Knowledge of and experience with GIT and CI/CD pipelines on Azure DevOps
• Understanding of the ML/AI life cycle and what it means to bring an application to production
• Experience in Databricks, WSO2, Seldon, MLFlow, FastAPI, Docker, data engineering, and ML system design earns you extra points

Who you will work with

You will work with the Data & AI team containing ML Ops, data science, data visualization and data management experts. We are a growing team of specialists who share a passion for data and AI solutions, and there is plenty of room for personal growth and development . Working closely with other IT, business, and staff we supply various data products for NN Life & Pensions , from operational to strategic levels, supporting them to service our customers best.

Any questions?

If you have any questions about the assignment, you can reach out to Amy Brouwer (Talent Acquisition Specialist) via, amy.brouwer@nn-group.com.