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MLops Engineer
Ouderkerk aan de Amstel +8 · Remote possibleMid level (2–5 years)Full-timePosted 25 days ago
About the job
What you'll do
Deploy, maintain, and optimize production machine learning models and the infrastructure supporting reliable, low-latency serving. Build data and automation pipelines, implement model observability, improve CI/CD and reproducibility, optimize performance and costs, and collaborate with Data, Platform, and Backend teams.
What they're looking for
Requires 2–4 years of experience building, deploying, and maintaining production ML systems, strong Python skills, and hands-on experience with model development and deployment. Candidates should understand MLOps, observability, distributed systems, Kubernetes, and cloud infrastructure, and be able to troubleshoot and own technical components independently.
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