AI, MLOps, Automotive, Semiconductor, Python, Kubernetes

Department: HOT JPN
Salary: 12M JPY Annual

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RECRUITER SUMMARY

HOT JPN IT Development, AI MLOps Automotive Semiconductor Python Kubernetes, 12M JPY Annual

07/05/2025

Candidate Background

Nationality:
Japanese
Residence:
Aichi, Japan
Education:
Master’s Degree, Department of Materials Science & Engineering XXXX Bachelor’s Degree, Electrical & Electronic Engineering XXXX
Languages:
English – Intermediate Japanese – Native
Experience:
10+ years of experience in the industry Current & Previous Employers and jobs include: IT Consultant/AI Engineer at XXXX Data Scientist at XXXX, XXXX Semiconductor Production Engineer at XXXX, XXXX
Motives:
Is actively looking for a job right now because wants to move to management positions and roles. Open for the Field Application Engineer role and also AI Consultant roles.
Current Salary:
10M JPY Annual
Expected Salary:
12M JPY Annual
Notice Period:
3 Months
Interview Availability:
Requires a day notice

Interview Assessment Notes

1. Could you introduce yourself and tell us about you? Your current / recent jobs and employers? Previous companies and jobs? 
Has been working in the semiconductor industry for more than 10 years now; initially started with XXXX as a Semiconductor Production Engineer where he worked with the development of silicon carbide semiconductors. Also was with XXXX with the same role and responsibility, but mostly focused on gallium oxide semiconductor. After that, he changed career to data science and IT engineering, starting with XXXX as a Data Scientist where he worked on data analysis for chemical industry, reported the result of analytics to clients, and resolve customer issues as well. He also was a Data Scientist with XXXX which is a famous automotive parts company, he worked there as an AI engineer as well where they have developed AI models for smart factory using Python. Currently, he is with XXXX as a Senior Consultant and AI engineer where he develops Generative AI system such as chatbots, design automotive AI models using AWS, Python, Kubernetes, and also is involved with MLOps Development for an Autonomous Driving AI system.

2. What skill(s) / experience would you self-describe as strongest or specialist in? 
Strongest skill would be his strong knowledge of the industry especially semiconductor and automotive since he has been working in these sectors for more than 10 years now. He also considers his IT skills and software engineering skills as his strengths especially AI field; he can develop AI models and make use of AWS.

3. Do you have the lists of key criteria’s according to the clients’ requirements?
He is keen to learn and be trained in doing field applications engineering; currently, most of his experience is within AI engineering, data analysis, and semiconductor engineering. In those jobs, he also frequently talks to clients, customers, and stakeholders so he would be comfortable doing those as an FAE. He also has 6 years of experience in Python and has great expertise within the automotive, semiconductor spaces.

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