Machine Learning Ops Lead - VP
SGP-Head Office, Singapore
SGD 165K-207K (estimate) Senior-level Full Time
Tasks
- Architect AWS ML training and inference pipelines
- Automate model versioning and artifact storage
- Build and maintain ML pipelines
- Containerize ML workloads with Docker
- Create documentation, runbooks, and best practices
- Develop monitoring and alerting for model performance and drift
- Drive technical roadmaps and architecture decisions
- Ensure security compliance and governance for ML pipelines
- Evaluate and adopt new MLOps trends
- Implement CI/CD workflows for ML models
- Lead end to end MLOps and LLMOps pipelines
- Mentor junior engineers
- Orchestrate workloads on Kubernetes
- Package models for production services
Perks/Benefits
Skills/Tech-stack
AWS CloudFormation | AWS CloudWatch | AWS ECR | AWS ECS | AWS Lambda | AWS S3 | AWS SageMaker | AWS Step Functions | Bitbucket | CI/CD | Data Drift | Data drift monitoring | Docker | Drift monitoring | GRPC | Grafana | IAM | Jenkins | Kubeflow | Kubernetes | MLflow | Prometheus | Python | REST API | Ray | SGLang | Sagemaker Pipelines | Step Functions | Terraform | VLLM
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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