Senior Machine Learning Engineer II
在手机上跟进您的申请 Whileresume 免费应用，支持 iPhone 和 Android。
职位介绍
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.
查看完整职位
工作职责、任职要求、技能与福利 — 免费创建账号即可查看。
或
已有账户？
登录您可能也感兴趣的职位
暂无高度相似的职位 — 以下是最新职位。