Machine Learning Engineer II
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Die Stelle
As a Machine Learning Engineer II, you will contribute to building and improving ML models and infrastructure powering real-time personalization across the platform.
You will own data processing, feature engineering, model training, evaluation, deployment, and monitoring in production.
Collaborate with senior engineers, product managers, and platform teams to implement end-to-end ML use cases and features.
Write high-quality, well-tested code and help prevent regressions through testing and monitoring.
Apply best practices in ML engineering, system reliability, and scalability while growing your technical depth.
Participate in design discussions, code reviews, and knowledge sharing in a fast-paced, high-impact environment.
You will own data processing, feature engineering, model training, evaluation, deployment, and monitoring in production.
Collaborate with senior engineers, product managers, and platform teams to implement end-to-end ML use cases and features.
Write high-quality, well-tested code and help prevent regressions through testing and monitoring.
Apply best practices in ML engineering, system reliability, and scalability while growing your technical depth.
Participate in design discussions, code reviews, and knowledge sharing in a fast-paced, high-impact environment.
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Aufgaben, Anforderungen, Kompetenzen und Vorteile — mit Ihrem kostenlosen Konto.
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