Machine Learning Engineer
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The role
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.
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