Machine Learning Ops Lead - VP
SGP-Head Office, Singapore
SGD 165K-191K (estimate) Senior-level Full Time
Tasks
- Architect and manage AWS services for model training and inference
- Automate model versioning and artifact storage with MLflow or SageMaker model registry
- Containerize ML workloads and orchestrate on Kubernetes
- Design build and maintain end to end MLOps and LLMOps pipelines
- Develop standards best practices and runbooks
- Ensure security compliance and governance for ML pipelines
- Implement CI CD workflows for automated testing and release
- Lead technical roadmaps and architecture decisions
- Package models into production ready services
- Set up monitoring and alerting for model and infrastructure health
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Lambda | AWS SageMaker | Amazon CloudWatch | Amazon ECR | Amazon ECS | Amazon S3 | Bitbucket | CI/CD | CloudFormation | Docker | GRPC | Grafana | IAM | Jenkins | Kubernetes | MLflow | Prometheus | Python | REST API | Ray | SGLang | Terraform | VLLM
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science
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