Full-Stack AI & Data Platform Engineer

As a developer within the data science & AI team, you support the data scientists with programming work that is separate from the development of the model in question. This includes building API frameworks for releasing models (using DevOps pipelines) and making (public) resources/services available to the data scientist in the form of an API. You also develop user interfaces to make the functionality of these models easily available to end users. You also guarantee code quality together with the team and architecture. Contributing to code reviews, coaching the team in object-oriented programming and ensuring reference architecture choices/guidelines are important tasks.

You also support custom (Azure) solutions where, for example, large quantities of documents are indexed, provided with embeddings and stored (including additional metadata) in a document store. If necessary, you build ingest methods to periodically store data science-related (open) data sources (e.g. open data/APIs) in a generic way within the platform.

Required Knowledge/Experience

Docker (in combination with container apps)

Azure DevOps (DevOps in combination with MLOps is an advantage)

Authorization & authentication mechanisms (Oauth2)

Pythonc#/React/Blazor knowledge

Databases (Nosql/sql Azure)

Microsoft stack Visual Studio (code)/GIT/CICD

Working based on the Agile working method (Scrum or DevOps)

Pre

Microservice architecture (API Management Service)

Dapr knowledge

Affinity with Data Science

Azure Landing Zone Framework

Knowledge of customer processes in financial services

In addition, we ask

3+ years of development experience

A relevant (technical) education at HBO/WO level

Experience or affinity with an Agile working method (Scrum or DevOps) Experience with Secure Software Development

A good command of the Dutch and English language, spoken and written

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