Senior MLOps Engineer (m/w/d)

Analyses du marché

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Description

Short Facts Location: Munich, Germany Employment Type: Full-Time, indefinite term Salary Range: € 95,000 – 115,000 per year gross, depending on seniority level Office First work setup Language Requirement: C1 Level English Your Responsibilities Act as the technical bridge between data science and software engineering, helping research models become reliable, maintainable production systems, and helping engineering understand what ML workloads actually need Design and build the data and feature pipelines that support Flexa's forecasting and trading models at scale across hundreds of thousands of distributed systems Leverage Flexa’s deployment, orchestration, and serving platform to bring models into production, for both batch and real-time workloads Establish monitoring and observability for models in production, like drift, data quality, latency, and failure modes Partner closely with data scientists on model design and validation, bringing an engineering perspective on scalability, maintainability, and production risk from early on Champion engineering rigor and ML best practices to foster an open, data-driven engineering culture. Contribute to the technical roadmap, anticipating scaling needs as data volume and model complexity grow Opportunity to guide and develop more junior colleagues through design review, code review, and structured feedback Be part of a cross-functional team of data scientists, software engineers, and other teams across Flexa's partner ec

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