Overview
Manage the lifecycle of machine learning models from development through operation, enabling efficient deployment and operation.
Responsibilities
- Building and managing deployment pipelines for machine learning models
- Automating model monitoring, evaluation, and update processes
- Collaborating with data engineers and data scientists
- Optimizing and scaling infrastructure
- Ensuring security and compliance
Requirements
- Experience deploying and operating machine learning models
- Experience building CI/CD pipelines
- Experience using cloud platforms (AWS, Azure, GCP, etc.)
- Knowledge of container technologies (Docker, Kubernetes)
- Programming skills (Python, Bash, etc.)
Preferred qualifications
- Experience using MLOps tools (MLflow, Kubeflow, etc.)
- Knowledge of databases and data pipelines
- Experience using monitoring tools (Prometheus, Grafana, etc.)
- Basic knowledge of machine learning and data science
Job conditions
- Number of openings
- 1
- Employment type
- Full-time
- Salary
- 7,000,000–8,000,000 yen
- Benefits & working conditions
- Please check the common conditions
Common conditions
- Commuting allowance
- Salary increase: once a year
- Bonus: once a year (paid separately from salary, based on performance)
- Work location: remote
- Standard working hours: 8 hours/day, 9:00–18:00
- Health insurance / Employees' pension / Employment insurance / Workers' accident compensation insurance
- Health checkup: once a year
- Employees below manager level may work as few as 2–3 days a week (*salary is calculated on a 5-day equivalent basis)
- Stock options available (full-time employees only)
- Two full days off per week (Saturday and Sunday), plus public holidays
Apply for this position
The application form asks for your basic information, education and work history, public work, and motivation.