Software Engineer (MLOps) - H/F/NB
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Die Stelle
You will join a multidisciplinary product team to explore how generative AI can enhance gameplay and player interactions.
Standardize and rationalize ML training and evaluation pipelines to enable reliable model delivery.
Design, orchestrate, and deploy ML microservices using Docker, with CI/CD pipelines tailored for machine learning.
Define model versioning and lifecycle policies to ensure governance and reproducibility across projects.
Integrate observability and monitoring to track model performance and operational health, enabling rapid iteration.
Collaborate with internal stakeholders (data scientists, ML engineers) to translate needs into technical specifications and reusable ML components.
Standardize and rationalize ML training and evaluation pipelines to enable reliable model delivery.
Design, orchestrate, and deploy ML microservices using Docker, with CI/CD pipelines tailored for machine learning.
Define model versioning and lifecycle policies to ensure governance and reproducibility across projects.
Integrate observability and monitoring to track model performance and operational health, enabling rapid iteration.
Collaborate with internal stakeholders (data scientists, ML engineers) to translate needs into technical specifications and reusable ML components.
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Aufgaben, Anforderungen, Kompetenzen und Vorteile — mit Ihrem kostenlosen Konto.
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