MLOps Engineer (Machine Learning Platform & Cloud Infrastructure)
Nagoya, Aichi, Japan
A JPY 6000K-10000K (estimate) Mid-level Full Time
Tasks
- Automate machine learning workflows
- Build scalable MLOps pipelines
- Create CI/CD pipelines
- Deploy models using serving frameworks
- Design machine learning infrastructure
- Implement model deployment workflows
- Maintain model monitoring and lifecycle management
- Manage infrastructure as code
- Monitor infrastructure and model performance
- Optimize cloud cost and performance
Perks/Benefits
- Business level Japanese proficiency
- Onsite work in Tokyo Japan
- Relocation assistance
- Visa sponsorship
Skills/Tech-stack
AKS | AWS | Airflow | CI/CD | Cloud platform | CloudFormation | Datadog | Docker | EKS | GKE | GitHub Actions | Google Cloud | Google Cloud Platform | Grafana | KServe | Kubeflow | Kubernetes | Linux | MLflow | Microsoft Azure | Prometheus | SageMaker Endpoints | Sagemaker Pipelines | Terraform | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Artificial Intelligence | Bachelor of Science in Computer Science | Bachelor of Science in Data Engineering | Bachelor of Science in Information Technology | Bachelor of Science in Software Engineering
Roles
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