WITS Japan Inc.
【Tokyo】Generative AI Engineer|2-3 Years of Experience Accepted|Global IT Group|Remote Negotiable◎
AI Engineer 1 More
4.5M - ***M JPY
Tokyo
Full-time (permanent)
Online Interview:
Yes
Remote Work from Overseas:
No
/ From Japan:
No
Rate of Foreigners
Less Than
Frequency of English Usage
Less Than
Remote work
Short overtime work (less than 20 hours)
Japanese learning support
Plans for overseas expansion
International employees
Top-Selling Points
Rate of Foreigners
Less Than
Less Than
Frequency of English Usage
Less Than
Less Than
Remote work
Short overtime work (less than 20 hours)
Japanese learning support
Plans for overseas expansion
International employees
Related Skills
Experienced area / job
Machine Learning
Deep Learning
Cloud / Infrastructure / DevOps tools
AWS
Azure
Management/System project Experience
Requirement Definition
Language Requirements
Required
- Japanese: Business
- English: Greetings/None
Preferred
- No Data
Language Requirements
Required
Japanese:
Business
English:
Greetings/None
Preferred
No Data
Job Description
Required Skills and Experiences
【Required Qualifications】
■Candidates must meet at least one of the following criteria:
①Experience in developing web applications using cloud-based AI services (e.g., Azure, AWS, etc.)
②Strong foundational knowledge in ML, inference, and probabilistic statistics
③Experience in RAG (Retrieval-Augmented Generation) construction or fine-tuning
■Japanese proficiency: Business level (Speaking, Writing, and Reading)
【Preferred Qualifications】
■Experience in requirements definition
■Experience in AI-related skills, such as:
-Prompt engineering
-Data analysis
-Building machine learning or deep learning models
-Model evaluation and tuning
【Ideal Candidate Profile】
■Curious and proactive in exploring new technologies
■Enjoys communication and team collaboration
Business
(description what they do)
System Development Services Business Process Outsourcing Services (BPO) Translation Services (PGS)
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Company
WITS Japan Inc.
【Tokyo】Generative AI Engineer|2-3 Years of Experience Accepted|Global IT Group|Remote Negotiable◎
AI Engineer 1 More
4.5M - ***M JPY
Tokyo
Full-time (permanent)
Online Interview:
Yes
Remote Work from Overseas:
No
/ Remote Work in Japan:
No
Rate of Foreigners
Less Than
Frequency of English Usage
Less Than
Remote work
Short overtime work (less than 20 hours)
Japanese learning support
Plans for overseas expansion
International employees
Top-Selling Points
Rate of Foreigners
Less Than
Less Than
Frequency of English Usage
Less Than
Less Than
Remote work
Short overtime work (less than 20 hours)
Japanese learning support
Plans for overseas expansion
International employees
Related Skills
Experienced area / job
Machine Learning
Deep Learning
Cloud / Infrastructure / DevOps tools
AWS
Azure
Management/System project Experience
Requirement Definition
Language Requirements
Required
- Japanese: Business
- English: Greetings/None
Preferred
- No Data
Language Requirements
Required
Japanese:
Business
English:
Greetings/None
Preferred
No Data
Job Description
Required Skills and Experiences
【Required Qualifications】
■Candidates must meet at least one of the following criteria:
①Experience in developing web applications using cloud-based AI services (e.g., Azure, AWS, etc.)
②Strong foundational knowledge in ML, inference, and probabilistic statistics
③Experience in RAG (Retrieval-Augmented Generation) construction or fine-tuning
■Japanese proficiency: Business level (Speaking, Writing, and Reading)
【Preferred Qualifications】
■Experience in requirements definition
■Experience in AI-related skills, such as:
-Prompt engineering
-Data analysis
-Building machine learning or deep learning models
-Model evaluation and tuning
【Ideal Candidate Profile】
■Curious and proactive in exploring new technologies
■Enjoys communication and team collaboration
Business
(description what they do)
System Development Services Business Process Outsourcing Services (BPO) Translation Services (PGS)
Available Jobs in (WITS Japan Inc.)
【Tokyo】PM / PL | Global IT Group | Avg. Monthly OT: 16h | Paid Leave Use: 70%+
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