Machine Learning Engineer
职位介绍
You will join the ML Platform team to design and maintain infrastructure for distributed data processing and ML model training.
You will implement GitOps to ensure reproducible cloud infrastructure across Kubernetes clusters.
You will develop and integrate monitoring and alerting within the observability stack using Datadog, Prometheus, and Grafana.
You will contribute runbooks and DevOps guides to help teams deploy and operate ML models.
You will collaborate with product teams to socialize and promote MLOps tools and processes, and support users in deploying, monitoring, and managing models.
You will report to the Senior Machine Learning Engineer and work onsite in Petaling Jaya, Malaysia.
You will implement GitOps to ensure reproducible cloud infrastructure across Kubernetes clusters.
You will develop and integrate monitoring and alerting within the observability stack using Datadog, Prometheus, and Grafana.
You will contribute runbooks and DevOps guides to help teams deploy and operate ML models.
You will collaborate with product teams to socialize and promote MLOps tools and processes, and support users in deploying, monitoring, and managing models.
You will report to the Senior Machine Learning Engineer and work onsite in Petaling Jaya, Malaysia.
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。
已有账户？ 登录
相似职位
其他可能适合您的职位。
? Machine Learning Intern Fall 2026 (Toronto) ? Machine Learning Engineer, Behavior Internship ? Machine Learning Engineer (L3) ? Senior C++ Programmer - Machine Learning Content Creation Technology Group ? Senior C++ Programmer - Machine Learning - Content Creation Technology Group ? Team Lead - Machine Learning Engineer