👋 About the Team

The AIE Team is responsible for validating and deploying AI models that meet business requirements, with a focus on VLMs and various other AI models. You will have the opportunity to gain hands-on experience in model development and advancement using real industrial data, while experiencing the full technical process from AI model development to commercialization in real-world services.

📌 What You’ll Do at This Position

In this role, you will work on practical projects that solve problems across various industrial domains using AI technologies. Beyond simply developing models, you will be involved in the entire process of turning AI models into solutions that can be applied in real business environments.

You will also gain a balanced experience between AI research and practical development through technical studies based on the latest papers and performance analysis activities. By collaborating with experienced developers, you will participate in building production-level AI systems.

✅ Key Responsibilities

Develop AI solutions for industrial vision problems using VLMs (Vision-Language Models)
Build training datasets based on multimodal data and optimize models
Design experiments, evaluate model performance, and analyze results
Develop and improve Computer Vision models, including Detection, Segmentation, and Anomaly Detection
Review the latest AI technologies and select/apply models suited to business requirements
Portfolio submission is required

✅ Requirements

2+ years of hands-on or research experience in AI, Computer Vision, Machine Learning, or related fields
Proficiency in developing deep learning models using Python and PyTorch
Experience developing and validating VLM or Computer Vision models
Ability to define problems based on data, design experiments, and analyze results
Strong collaboration and technical communication skills
No restrictions on overseas travel

✅ Pluses

Experience with VLM fine-tuning, prompt design, and performance optimization
Experience building AI model evaluation pipelines or designing benchmarks
Experience developing commercial services or products using AI models

✅ Hiring Process

Document Screening → 1st Interview → 2nd Interview & Assignment → 3rd Interview → Offer → Hire

(Additional assignments may be included during the process.)

🤓 A Message from the Team

The AIE Team consists of AI Engineers who develop AI models across various industrial domains. Based on a shared technical foundation, the team continuously works to advance its technical capabilities.

AI Engineers in the AIE Team participate in projects across multiple areas, including ITS and industrial safety, building expertise through hands-on experience. With a common technology stack shared across projects, the team can quickly apply its capabilities to new domains.

The AIE Team also values technical asset-building and knowledge sharing. We continue to document technical learnings and share codebases based on the outcomes and know-how gained from each project.

This collaborative structure creates an engineering culture where the team grows together, beyond the development capabilities of individual engineers.

Please Check Before Applying! 👀

This job posting is open continuously, and it may close early upon completion of the hiring process.
Resumes that include sensitive personal information, such as salary details, may be excluded from the review process.
Providing false information in the submitted materials may result in the cancellation of the application.
Please be aware that references will be checked before finalizing the hiring decision.
Compensation will be discussed separately upon successful completion of the final interview.
There will be a probationary period after joining, and there will be no discrimination in the treatment during this period.
To support the employment of persons with disabilities, you may optionally submit a copy of your disability registration certificate under “Additional Documents,” if administrative verification is required. Submission is optional and does not affect the evaluation process.
Veterans and individuals with disabilities will receive preferential treatment in accordance with relevant regulations.

🔎 Helpful materials

👋 About the Team

📌 What You’ll Do at This Position

✅ Key Responsibilities

Develop AI solutions for industrial vision problems using VLMs (Vision-Language Models)

Build training datasets based on multimodal data and optimize models

Design experiments, evaluate model performance, and analyze results

Develop and improve Computer Vision models, including Detection, Segmentation, and Anomaly Detection

Review the latest AI technologies and select/apply models suited to business requirements

Portfolio submission is required

✅ Requirements

2+ years of hands-on or research experience in AI, Computer Vision, Machine Learning, or related fields

Proficiency in developing deep learning models using Python and PyTorch

Experience developing and validating VLM or Computer Vision models

Ability to define problems based on data, design experiments, and analyze results

Strong collaboration and technical communication skills

No restrictions on overseas travel

🤓 A Message from the Team

The AIE Team consists of AI Engineers who develop AI models across various industrial domains. Based on a shared technical foundation, the team continuously works to advance its technical capabilities.

AI Engineers in the AIE Team participate in projects across multiple areas, including ITS and industrial safety, building expertise through hands-on experience. With a common technology stack shared across projects, the team can quickly apply its capabilities to new domains.

The AIE Team also values technical asset-building and knowledge sharing. We continue to document technical learnings and share codebases based on the outcomes and know-how gained from each project.

This collaborative structure creates an engineering culture where the team grows together, beyond the development capabilities of individual engineers.

Please Check Before Applying! 👀

This job posting is open continuously, and it may close early upon completion of the hiring process.

Resumes that include sensitive personal information, such as salary details, may be excluded from the review process.

Providing false information in the submitted materials may result in the cancellation of the application.

Please be aware that references will be checked before finalizing the hiring decision.

Compensation will be discussed separately upon successful completion of the final interview.

There will be a probationary period after joining, and there will be no discrimination in the treatment during this period.

To support the employment of persons with disabilities, you may optionally submit a copy of your disability registration certificate under “Additional Documents,” if administrative verification is required. Submission is optional and does not affect the evaluation process.

Veterans and individuals with disabilities will receive preferential treatment in accordance with relevant regulations.

[ソリューション] AIエンジニア

👋 About the Team

📌 What You’ll Do at This Position

✅ Key Responsibilities

✅ Requirements

✅ Pluses

✅ Hiring Process

(Additional assignments may be included during the process.)

🤓 A Message from the Team

Please Check Before Applying! 👀

🔎 Helpful materials

👋 About the Team

📌 What You’ll Do at This Position

✅ Key Responsibilities

✅ Requirements

✅ Pluses

✅ Hiring Process

(Additional assignments may be included during the process.)

🤓 A Message from the Team

Please Check Before Applying! 👀

🔎 Helpful materials