Machine Learning Ops Engineer
SGP-Head Office, Singapore
SGD 120K-143K (estimate) Mid-level Full Time
Tasks
- Automate model deployments
- Automate model versioning and artifact tracking
- Build end-to-end MLOps pipelines
- Collaborate with data scientists on model services
- Containerize ML workloads
- Develop monitoring and alerting
- Document standards best practices and runbooks
- Ensure security compliance and governance
- Implement CI/CD workflows
- Maintain production AI systems
- Orchestrate containers on Kubernetes
Perks/Benefits
- N/A
Skills/Tech-stack
AWS CloudFormation | AWS ECR | AWS ECS | AWS EKS | AWS IAM | AWS Lambda | AWS SageMaker | AWS Step Functions | Amazon CloudWatch | Amazon S3 | Audit Logging | Bitbucket | CI/CD | Docker | Encryption | GRPC | Grafana | Jenkins | Kubeflow | Kubernetes | ML model registry | MLflow | Model Registry | Prometheus | Python | REST | Ray | SGLang | Step Functions | Terraform | VLLM
Education
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