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MLOps Engineer

株式会社ディー・エヌ・エー

  • Python
  • GCP
  • Docker
  • GitHub
  • BigQuery
  • MLOps
  • Data Engineering
  • API
  • Cloud Run
  • gRPC
  • Vertex AI
  • Cloud Functions
  • Data Platform
  • Cloud Firestore
  • Cloud Build
  • Google Kubernetes Engine
  • Continuous Integration
  • Machine Learning Platform
  • REST
  • Cloud Spanner
  • Memorystore for Redis
  • Work Location Tokyo, Kanagawa
  • Company employee count 1,001 to 10,000

Company Info

DeNA Group is responsible for the operation of various business domains, and strives to improve the stability and efficiency of systems, as well as respond to disabilities and the like, by utilizing cloud IaaS/PaaS/SaaS environments and improving the performance of applications.

Job Summary

As a data engineer responsible for the development of a large-scale recommendation system, you will be responsible for the development of a large-scale recommendation system as a machine learning engineer, from system requirements definition, algorithm design, architecture design, to development and deployment, and promotes the progress of projects in collaboration with product, server-side, data science, and data engineering. It is a challenging system operation that works 24 hours a day, 365 days a year.

Duties

- System requirements definition, algorithm design, architecture design, implementation, and operation - Collaboration with data science and data engineering to develop a large-scale recommendation system - Development and operation of Python API - Development and operation of machine learning platform - Implementation of large-scale load testing - System operation that works 24 hours a day, 365 days a year

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MLOps Engineer

株式会社ディー・エヌ・エー

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