MLOps Engineer (Machine Learning Platform & Cloud Infrastructure)
Nagoya, Aichi, Japan
A JPY 6850K-10280K (estimate) Mid-level Full Time
Tasks
- Automate machine learning workflows
- Build CI/CD pipelines
- Deploy models to production
- Design machine learning infrastructure
- Implement infrastructure-as-code
- Implement machine learning deployment pipelines
- Manage containerized AI applications
- Manage model monitoring and lifecycle
- Monitor infrastructure and model performance
- Optimize cloud cost and performance
Perks/Benefits
Skills/Tech-stack
AI Pipelines | AWS | Amazon EKS | Amazon SageMaker | Apache Airflow | Azure AKS | Cloud platform | CloudFormation | Datadog | Docker | GitHub Actions | Google Cloud | Google Cloud Platform | Google Kubernetes | Google Kubernetes Engine | Grafana | KServe | Kubeflow | Kubernetes | Kubernetes Engine | Linux | MLflow | Microsoft Azure | Prometheus | Python | Terraform | Vertex AI | Vertex AI pipelines
Education
Roles
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