MLOps Engineer
Posted Updated 1
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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.
- Practical experience with Microsoft Azure tools, specifically Azure Data Factory, Databricks, Azure ML.
- Familiarity with GitHub / Azure DevOps for version control and deployment pipelines.
- Experience with Power BI for reporting and ServiceNow (or similar ticketing systems) for incident tracking.
- Understanding of Machine Learning or mathematical optimization workflows from an operational support perspective.
- Experience working within defined SLA frameworks in a production environment.
