Vị trí công việc này hiện tại đã hết hạn nộp hồ sơ, bạn có thể tham khảo thêm một số công việc tương tự tại đây:
Mô tả công việc
Tóm tắt công việc
■ About the team:
This team is responsible for leveraging data within the career transition support services, aimed at improving the experience of job seekers and maximizing matching through the use of technologies such as data science and machine learning.
Using a data platform based on various user data, the organization conducts everything from various analyses, strategy planning, measure consideration, modeling, to system development.
■ Duties:
・Migration of each machine learning system from the current environment due to the renewal of the system infrastructure.
*This is not a simple copy but involves system modification work based on the development policy of the new system infrastructure.
・Developing APIs to use the created data model in products
・Development, maintenance, and operation of machine learning systems for various measures.
・Active approach technological challenges and sharing the knowledge for the organization
Annual Leave: 15 days/ year
Flexible Working Time (Hybrid Working)
100% Salary in Probation
Salary Review (Twice a Year)
13th Salary bonus
Social Insurance for 100% Salary
Travel Allowance
Premium Health Care Insurance for employees (PTI)
Annual Health Check
Full Device provide
Monthly Happy Hour, Company Trip, Year End Party and Events
Marriage / Baby Gift
Funeral Expenses
Referral Bonus
Skill Improvement Course for Employees (Udemy)
Yêu cầu
Age: 25 - 37
Must
・1+ years of experience using Python
・1+ years of experience using SQL
・Experience with data warehouses (Redshift, BigQuery, DataBricks, etc.)
・Experience in commercializing created data models
・1+ years of experience operating the CUI of Linux servers
・1+ years of experience using Docker
・1+ years of practical implementation experience using Git
・Knowledge and 2+ years of usage experience of AWS services
Preferable
・Practical experience using Machine Learning
・Knowledge of evaluating the accuracy of Machine Learning models
・Experience using GBDT (feature-based) models
・Practical experience using large-scale data
・SQLperformance tuning experience
・Experience creating APIs using Flask and FastAPI
・Experience building infrastructure on AWS
・Knowledge of the human resources industry
・Experience using Datadog
・Understanding and experience using workflow tools
English skill: From Basic Level-
Recruitment Process: Test → 1st interview → Final interview → Offer
Thông tin khác
Machine Learning
Python
MS SQL
Linux
Git
API
Docker
AWS Redshift
AWS
Flask
DataDog
Databricks
FastAPI
Google BigQuery
Thông tin chung
- Ngày hết hạn: 13/03/2025
- Thu nhập: Thỏa Thuận
