AI Engineer for the medical sector – Japanese

Full Time
  • Post Date: May 6, 2021
  • Apply Before: June 30, 2021
Job Description

Responsibilities

Research and develop machine learning systems that help train and/or deploy models for medical diagnostic

Quickly prototype new ideas/technologies to create proof of concept and demos for healthcare application

Able to consult and bring new healthcare business opportunities to the table

Effectively communicate with onsite and offshore engineering/business teams

 

Requirements

Preferably 2+ years of industrial experience in Machine Learning/Deep Learning.

Experience with ML frameworks such as: Tensorflow, Keras, Pytorch, Caffee, etc.

Experience in Python and/or C++.

Familiarity with ML algorithms for the problems, like Regression, Classification, Clustering, Dimensionality reduction, Structured output, Anomaly detection etc.

Ability to understand recent ML research papers and adapt those models to solve real world problems

Solid understanding on various software development tools, software process, and environments: IDE, debugger, source control, bug tracking, etc.

Ability to multi-task effectively under considerable pressure and deadlines and easily adapt within a fast-paced environment.

Excellent communication and organizational skills.

Japanese : N2 up

English: >600 Toeic.

Have is an advantage

Experience in speech processing and/or natural language understanding

Familiarity with building cloud systems and/or using AWS cloud services for machine learning.

Knowledge/Interest in the state-of-the-art technological advancement aside from healthcare and the flexible mindset to adapt these technologies to healthcare domain

 

Regime:

Support housing, transportation, allowances for dependents in Japan.

The career path is clear, with lots of positions and promotion opportunities for employees.

Bonus payment 2 times/year.

Salary review 1 time/year

Working from Monday to Friday weekly.

Working directly with customers is big corporations in Japan.

Training in language, soft skills.

Join in travel, teambuilding organized by the company yearly.

Join exciting event activities, sports clubs, arts …

 

Email: [email protected]