We are looking for an Operations Engineer with a solid background in Data Science and Machine Learning to support our mature, fully deployed production algorithms. This role focuses on long-term operational stability, system health, and minor maintenance rather than developing new solutions from scratch.
The environment is highly stable with a low incident volume (typically around one incident per month). You will act as the dedicated technical expert for these production models, collaborating closely the internal product, architecture, and platform teams.
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Monitor algorithm health, performance, and general operational workflows for deployed machine learning and optimization solutions.
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Investigate, troubleshoot, and resolve production incidents within the European time zone to meet defined SLA targets (ownership and closure).
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Perform minor enhancements, maintenance tasks, and support occasional production deployments or periodic model refreshes.
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Maintain deep, model-specific knowledge to perform deeper technical investigations and refreshes when required.
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Practical experience with Microsoft Azure tools, specifically Azure Data Factory, Databricks, Azure ML.
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Familiarity with GitHub / Azure DevOps for version control and deployment pipelines.
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Experience with Power BI for reporting and ServiceNow (or similar ticketing systems) for incident tracking.
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Understanding of Machine Learning or mathematical optimization workflows from an operational support perspective.
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Experience working within defined SLA frameworks in a production environment.
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