Data & ML Infrastructure Engineer
Optics11 · Amsterdam, Noord-Holland, Netherlands · Full-time
Description
We are expanding our team with a Data & ML Infrastructure Engineer who will take ownership of the platform that enables data ingestion, processing, storage, and machine learning workflows across multiple products. Operating at the intersection of data science, software engineering, and cloud infrastructure, you will build the foundations and ensure that our ML systems are scalable, reproducible, and production ready. In this role, you will design, implement, and continuously improve a cloud-agnostic data and ML platform that supports multiple products and teams. You will be responsible for platform reliability, scalability, and cost-efficiency, while providing data scientists and ML engineers with the tools and infrastructure to efficiently develop, train, validate, and deploy machine learning models. You will serve as a technical bridge between the data science and IT/infrastructure teams, translating requirements into robust and maintainable systems. This role includes ownership of an existing vendor-delivered platform and its evolution into a fully automated, reproducible, and multi-product ML platform. Key Responsibilities: Design, implement, and maintain the data and ML pla…
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Questions about this job
Where is this Data & ML Infrastructure Engineer job located?
The listing places this job in Amsterdam, Noord-Holland, Netherlands.
Who is hiring?
The employer shown on the listing is Optics11.
What is the salary?
The listing does not state a salary. Ask the employer about pay, overtime and payment dates before accepting.
Is it full-time or part-time?
The listing type is Full-time.
When was this job posted?
It was posted on 14 October 2026. Jobs that stay open too long are closed automatically, so apply soon if you are interested.
How do I apply?
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