MLOps Engineer (Machine Learning Platform & Cloud Infrastructure)
Tokyo, Kantō, Japan
A JPY 6000K-10000K (estimate) Mid-level Full Time
Tasks
- Automate machine learning workflows
- Automate model retraining
- Build scalable MLOps pipelines
- Create CI CD pipelines for machine learning
- Deploy models to production
- Design cloud based machine learning infrastructure
- Implement model deployment monitoring and lifecycle management
- Manage infrastructure as code
- Monitor infrastructure and model performance
- Optimize cloud cost and resource utilization
Perks/Benefits
Skills/Tech-stack
AI Pipelines | AWS | Airflow | Amazon EKS | Amazon SageMaker | Amazon SageMaker Pipelines | Azure AKS | CI/CD | Cloud platform | CloudFormation | Datadog | Docker | GitHub Actions | Google Cloud | Google Cloud Platform | Google GKE | Grafana | KServe | Kubeflow | Kubernetes | Linux | MLflow | Microsoft Azure | Prometheus | Python | Sagemaker Pipelines | Terraform | Vertex AI | Vertex AI pipelines
Education
Roles
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