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Data Application Engineer

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Job Location drjobs

Tokyo - Japan

Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Job Description

We are Unlock Design a recruitment agency based in Japan and the job description below is an opportunity with one of our forwardthinking client companies. We aim to ensure a trustworthy and considerate experience for our candidates emphasizing their privacy and longterm career goals. See our full promise and approach by visiting

Basic Information

Client ID: 100000

Job ID: 2478

Position: JP Data Application Engineer (AI/LLM) L2/3

Location: Tokyo (Partially Remote)

Salary: 6M 8M (negotiable)

Language: N1 level Japanese

Contract type: Permanent

Who we are

e



eCRM8

  • D2Ce
  • eD2C1
  • DOOH


  • English here

    We are a technology company founded in 2016 that provides a onestop platform for brands to support production ecommerce construction marketing and logistics in 13 markets and 17 locations around the world. Our mission is to make every business borderless and are pushing to further remove the borders between online and offline geographical boundaries and industries through the power of data and technology. From manufacturing and ecommerce to CRM marketing and logistics we develop 8 different products supporting end to end supply chain processes. This position offers an opportunity to develop a brand new product that allows users to crosssectionally analyze data by integrating all of our products.
    Our Products

  • Fullstack influencer marketing platform for brands and creators
  • An endtoend solution that enables D2C and ecommerce merchants to integrate fulfillment processes through our international network of ecommerce shopping carts and logistics partners.
  • Enables publishers for borderless access to web and app data and enhancement features
  • Streamline management optimization and tracking across your ecommerce & D2C channels into a single platform.
  • Enables the creation of products from all over the world through the cloud.
  • Enables individuals and businesses to drive key ecommerce activities from building and operating online stores to the implementation of marketing measures improved logistics costs and customer support.
  • Turns conversations into sales by providing users with a seamless shopping experience across major chat messaging platforms.
  • Enables marketers to activate manage and track their advertising activities including web inapp and DOOH advertising.
  • Provides creators with tools and resources to enhance content creation and strategy monetization channel and account growth.

Job Description

ECAIGPT4oClaudeLLM01

  • LLMAI
  • AI
  • LLMOps

  • Google Cloud

  • English here

    We are looking for engineers to join our team with a mission to provide valuable insights and decisionmaking support to clients using unique data from marketing and ecommerce domains. Our goal is to accelerate business growth and build market superiority by enhancing customer value through our platform improving internal productivity and developing innovative AI assistants and solutions. You will be involved in challenging projects that leverage cuttingedge large language models (LLMs) like GPT4o and Claude to create something from scratch.

    Responsibilities

    • Development of new features to achieve business strategies.
    • Design implementation and improvement of interactive business support applications utilizing the latest LLM and AI technologies.
    • Development and delivery of custom AI solutions to clients.
    • Exploration and implementation of best practices for LLMOps.
    • Code reviews and technical discussions within the team.

    Project Examples

    • Enhancing search functionality and maximizing effectiveness in an influencer marketing platform through tagging influencers demographic predictions and improving influencer suggestion features. Visualizing the impact of influencer strategies through structural understanding.
    • Planning and building a management dashboard. Developing applications that integrate large language models to enable flexible condition specification and analysis via natural language queries.
    • Developing machine learning and data infrastructure that balances application requirements with analysis and machine learning capabilities using various Google Cloud services.

Minimum Requirements

  • LLM
  • AWS Google Cloud Azure
  • English here
    • Ability to explain how past work addresses specific needs or challenges including explaining solutions to those without a technical background.
    • Experience in developing applications using large language models (LLMs).
    • Experience using cloud services (AWS Google Cloud Azure) in a professional setting.

Preferred Requirements

  • BtoB2
  • LangChain LangSmith
  • CI/CD
  • English here
    • Expertise in machine learning and statistics.
    • Experience in implementing natural language processing and machine learning models.
    • Over 2 years of experience in implementing B2B products.
    • Experience using libraries and frameworks for large language models such as LangChain and LangSmith.
    • Experience in building and managing CI/CD pipelines.

Tech Stacks

  • : Python 3.7
  • Runtime: Docker image(k8s Cloud Run)
  • : Git Gitflow
  • : Google Cloud Platform (GKE CloudSQL GCS PubSub)
  • : Google Cloud Operations Suite (Stackdriver)
  • : Slack
  • : JIRA with Agile Board
  • : Confluence

Conditions / Benefits

Employment type: Fulltime

Location: Tokyo

Annual Salary:(negotiable)

Annual bonus

Performance review twice a year

Transportation expenses covered

Hours: 10:00 19:00

Remote work available

Off on Saturdays Sundays Public Holidays New Years Holiday

Special leaves (maternity paternity childcare celebratory and/or condolence)

15 days paid leave in the first year

Benefits:

Creative office in Tokyo

Working visa sponsorship

Social insurance employment insurance and health insurance

Interview Process

  1. CV Screening
  2. 1st Interview
  3. 2nd Interview
  4. Final Interview
  5. Offer

This process is subject to change

Remote Work :

No

Employment Type

Full Time

About Company

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