Machine Learning Engineer
Petaling Jaya, Selangor, Malaysia
USD 124K-170K (estimate) Entry-level Full Time Found 9d ago
Tasks
- Collaborate with product team on MLOps tools
- Configure Kubernetes clusters using GitOps
- Create runbooks and DevOps guides
- Design and develop ML infrastructure
- Develop and integrate monitoring with Datadog, Prometheus, Grafana
- Support deployment and management of ML models
- Support distributed data processing
Perks/Benefits
- Birthday leave
- Flexible benefits
- Flexwork arrangements
- Life insurance
- Medical insurance
- Parental leave
- Volunteering leave
Skills/Tech-stack
Alerting | ArgoCD | Data Processing | DevOps | Distributed Computing | GitOps | Helm | Infrastructure as Code | Kubernetes | Kustomize | ML ecosystems | Monitoring | Python | Terraform | “as-code”
Language: en |
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