Overview
Build and tune the model
Data Engineering
Build MLOps
Create and implement an API based on the model
Research and development related to the ML domain, satellite data, and geospatial information
Responsibilities
Build and tune the model
Data Engineering
Build MLOps
Create and implement an API based on the model
Research and development related to the ML domain, satellite data, and geospatial information
Basic Qualifications
Experience in working as an AI Engineer
Programming experience in Python
Database experience with SQL
Experience working with AWS, GCP, or Azure
Bachelor's degree or higher in mathematical or information sciences OR equivalent work experience and skills
Reading and writing skills in English (Our internal documents are in English)
Preferred Qualifications
Experience leading projects
Use English at the business level
English at the level of verbal communication
Use Japanese at the business level
Experience in working with satellite and geospatial data
Experience in using GIS tools (QGIS, ArcGIS, etc.)
Experience participating in data science competitions such as Kaggle and its results
Experience in committing to OSS
Tools
Cloud service platform: AWS, Azure, GCP, Terraform
Development language: Python
Development frameworks: Python-based framework
Container management: Docker, Docker-container
Database: PostgreSQL
Project management: Github, Notion
Internal communication: Slack, Discord, Notion, Zoom
Hiring Process
Resume screening
Submit your resume including relevant experience, education, skills, and accomplishments
Highlight any experience in strategic advisory, project management, or executive support roles
Case Study or Problem-solving Exercise (1-2 hours)
Complete a case study or problem-solving exercise to demonstrate your strategic thinking and decision-making abilities
Present your findings and recommendations to the hiring team
Initial Interview (30 min - 1 h)
Discuss your background, skills, and experiences related to the ML Engineer role
Assess your understanding of organizational dynamics and ability to work closely with senior leadership
Panel Interview (1-2 hours)
Engage in a panel interview with key stakeholders, including the CEO and other members of the leadership team
Discuss your fit for the role, leadership style, and approach to driving organizational success
Reference Check and Background Verification
Provide references from previous employers or colleagues who can speak to your qualifications and performance
Undergo background verification checks as required by company policy
Offer and Onboarding
Receive and review the job offer, including salary, benefits, and other details
Complete any necessary paperwork and undergo orientation and training as needed
Begin your role with support and guidance from the CEO and leadership team
Work Conditions
Location
Flexible (Remote or Tokyo Office-based)
Salary
8,000,000 JPY / year or more (May vary depending on your location)
