Career opportunity ML Ops Engineer
ML Ops Engineer
- Locations
- Tokyo
- Salary
- ¥5,000,000〜¥8,500,000 (Annual)
- Recruitment industry
- Programmer, Python
- Employment status
- Full time employee
Job description
You will be responsible for the back end development and operation of ML models related to speech recognition and NLP for our products.
Our main focus is on providing value to users and delivering high quality products as quickly as possible. We value flexibility and the ability to utilize different resources, so we will consider the use of both external ML APIs and models developed in-house.
- PoC of ML models.
- Research, experimentation and modification of existing models to improve their accuracy.
- Work with ML engineers to build infrastructure and to deliver ML models to the production environment.
Tech Stack:
- Language (machine learning): Python
- Language (back-end): Python, TypeScript
- Machine learning libraries: scikit-learn, PyTorch
- Infrastructure: AWS
- Code management: GitHub
- CI: GitHub Actions
Requirement
Requirements
- 1+ years' experience in developing ML models
- 1 year or more experience in back-end development using ML models
- Japanese: Conversational level with the ability to communicate well.
Preferred Experience
- Experience in back-end development using TypeScript
- Experience with speech recognition and NLP
- Experience in building MLOps
- Experience with Kaggle
Benefits
- Transportation costs for communting will be subsidized.
- Health insurance provided.
Work time
- Hybrid or remote working
- Flexible working hours (core hours: 12:00-15:00)
- Probation period: 6 months
- Two days off per week (Saturdays, Sundays, public holidays, year-end and New Year's holidays, etc.)
- In order to allow flexible workstyles for our employees, we accept remote working. The frequency of office attendance varies depending on the team's situation.
Location
Tokyo