Senior Software Engineer, ML Infrastructure, PrePlan
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Die Stelle
This role focuses on deploying and maintaining scalable ML infrastructure for production models in a fast-paced, experiment-driven environment.
Collaborate with ML Modeling Engineers, Data Scientists, and Software Engineers to bring models from development to production.
Develop and operate CI/CD pipelines to automate data generation, model training, testing, and deployment.
Implement best practices for model versioning, monitoring, governance, and reliability in production systems.
Troubleshoot deployment and performance issues to keep systems robust during rapid experimentation.
Stay current with ML Ops and DevOps trends and apply them to large-scale ML stacks using modern frameworks and tools.
Collaborate with ML Modeling Engineers, Data Scientists, and Software Engineers to bring models from development to production.
Develop and operate CI/CD pipelines to automate data generation, model training, testing, and deployment.
Implement best practices for model versioning, monitoring, governance, and reliability in production systems.
Troubleshoot deployment and performance issues to keep systems robust during rapid experimentation.
Stay current with ML Ops and DevOps trends and apply them to large-scale ML stacks using modern frameworks and tools.
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Aufgaben, Anforderungen, Kompetenzen und Vorteile — mit Ihrem kostenlosen Konto.
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