MLOps Engineer
キャディ株式会社
- Python
- Machine Learning
- GitHub
- JAVA
- C++
- Terraform
- TypeScript
- PyTorch
- CI/CD
- BigQuery
- Go
- React
- PostgreSQL
- MLOps
- Data Science
- SRE
- Datadog
- Github Actions
- Node.js
- Google Cloud
- Data Utilization
- Rust
- Kotlin
- Next.js
- Spark
- API
- Scala
- Sentry
- GraphQL
- Redash
- gRPC
- GitHub Copilot
- Machine Learning Model
- Data Lake
- Cloud Monitoring
- Container Technology
- Firestore
- Auth0
- Argo Workflow
- WebGL
- Google Kubernetes Engine
- kubeflow
- CloudSQL
- Machine Learning Engineering
- AlloyDB
- Apache Beam
- REST
- WebAssembly
- Feature Store
- Anthos Service Mesh
- Vertex AI Pipeline
- Machine Learning Model Development
- Vertex
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¥7,000,000 - 10,000,000
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Tokyo
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101 to 1,000
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Company Homepage
Company Info
Job Summary
MLOps Engineers provide the foundation for the continuous provision, maintenance, and operation of machine learning and data science models, and promote the development of data collection and data utilization. Specific job examples include performing machine learning model inference and batch operations, creating CI/CD environments, and optimizing the construction of machine learning models and platforms.Duties
MLOps Engineers work in collaboration with machine learning engineers to provide a foundation for the continuous provision, maintenance, and operation of machine learning and data science models. They are responsible for improving data collection and data utilization, and for implementing tasks such as the development, deployment, and operation of machine learning models and platforms. They also contribute to the implementation of new technologies and the documentation and publication of SRE and platform-related materials.Login to see all information about offers.
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