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Machine Learning Engineer

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Onsite

Machine Learning Engineer

Build+ (formerly Wahl+Case)

Machine Learning Engineer

Skills

Machine LearningAI

14 days ago

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Important information


Contract type:

Permanent

Location:

Tokyo, Japan

Work mode:

Onsite

Published on:

5 October 2026

What they need


Tokyo, Hybrid

English speaking environment

Valid Japanese work visa required

About the Company

A growing Tokyo based AI company building production grade AI agents and applied machine learning solutions for major Japanese enterprises. Projects cover generative AI, enterprise data, scientific simulation, sustainability, and business automation.

The Role

Own the full machine learning lifecycle, from understanding the customer’s problem and forming research hypotheses through to experimentation, modelling, deployment, monitoring, and retraining.

This is a hands on technical role with direct customer exposure. Strong communication is important, as engineers must explain technical decisions clearly to both experts and nontechnical stakeholders.

Responsibilities

  • Translate customer needs into practical machine learning solutions

  • Clean and prepare data for training and evaluation

  • Design, develop, and evaluate machine learning models

  • Select suitable algorithms and tools for each problem

  • Deploy models into production systems

  • Monitor model performance and retrain when required

  • Research and apply new machine learning techniques

  • Document architectures, processes, and findings

  • Communicate technical topics clearly to customers and internal teams

Requirements

  • Degree in computer science, mathematics, physics, engineering, biology, or another related discipline

  • Strong programming ability and experience writing maintainable code

  • Hands on experience with machine learning models and experimentation

  • Interest in applying current AI research to real business problems

  • Strong written and verbal communication skills

  • Professional English

  • Japanese: JLPT N3

The position is open across different experience levels, from engineers delivering defined technical work to senior candidates leading complex customer projects.

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