Senior Machine Learning Engineer II
Ist diese Stelle etwas für Sie?
Lebenslauf erstellen Erstellen Sie Ihren Lebenslauf und entdecken Sie Ihre Übereinstimmung mit dieser Stelle — und mit allen anderen.
Bewerbungen unterwegs verfolgen Die kostenlose Whileresume-App für iPhone und Android.
Die Stelle
Design and implement scalable ML infrastructure using Ray to support model training, deployment, and inference at scale.
Leverage Kubernetes to orchestrate containerized applications and manage ML models and services.
Develop and maintain CI/CD pipelines for automated testing, deployment, and lifecycle management of ML applications.
Implement robust monitoring, logging, and alerting to ensure high availability, performance, and security of the ML platform.
Collaborate with data scientists and ML engineers to optimize data pipelines and model performance, while staying current with ML advancements and best practices.
Provide DevOps/SRE support, incident response, performance tuning, disaster recovery planning, and promote a customer-focused, long-term, and inclusive culture.
Leverage Kubernetes to orchestrate containerized applications and manage ML models and services.
Develop and maintain CI/CD pipelines for automated testing, deployment, and lifecycle management of ML applications.
Implement robust monitoring, logging, and alerting to ensure high availability, performance, and security of the ML platform.
Collaborate with data scientists and ML engineers to optimize data pipelines and model performance, while staying current with ML advancements and best practices.
Provide DevOps/SRE support, incident response, performance tuning, disaster recovery planning, and promote a customer-focused, long-term, and inclusive culture.
Die vollständige Anzeige sehen
Aufgaben, Anforderungen, Kompetenzen und Vorteile — mit Ihrem kostenlosen Konto.
oder
Bereits ein Konto?
AnmeldenDiese Stellen könnten Sie interessieren
Noch keine wirklich ähnliche Stelle — hier die neuesten.