👋 About the Team
The Solution Tech Team plays a vital role in developing and deploying AI-powered solutions across various industrial domains such as ITS (Intelligent Transportation Systems) and industrial safety. Leveraging state-of-the-art technologies—including Computer Vision and Vision-Language Models (VLMs)—the team delivers scalable, production-ready AI systems tailored to real-world environments. By joining the team, you will gain hands-on experience across the entire technical pipeline, from AI model development to real-world deployment, while working with real industry data to refine and enhance AI models.
📌 What You’ll Do at This Position
You’ll work on real-world, hands-on projects that leverage AI technologies to address problems in diverse industrial domains. Rather than stopping at model development, you’ll be involved in the entire solution pipeline—from planning and experimentation to deployment in practical settings. You’ll participate in regular tech studies based on the latest papers, analyze model performance, and collaborate with experienced AI application developers to create production-ready AI systems.
✅ Key Responsibilities
- Apply and validate Vision-Language Models (VLMs) in new domains
- Fine-tune multimodal models and design evaluation metrics
- Develop auxiliary recognition features using Computer Vision (CV) models
- Design experiments and analyze results to derive improvement strategies
- Select and deploy optimal models aligned with business objectives
*Portfolio submission is required.
✅ Requirements
- 2+ years of practical or research experience in relevant fields such as VLM, Vision, or Multimodal AI
- Hands-on experience developing and evaluating models using VLM or CV techniques
- Proficiency in deep learning frameworks such as PyTorch or TensorFlow
- Strong foundational programming skills demonstrated through a relevant degree (e.g., Computer Science, AI) or equivalent projects/research experience
- Ability to logically analyze experimental results and communicate findings effectively
✅ Pluses
- Experience with leading VLM architectures and their practical applications
- Experience in deploying CV models in production environments
- Familiarity with MLOps practices or model serving infrastructure
- Experience reading, reviewing, or publishing relevant academic papers
✅ Hiring Process
- Document Screening → Screening Interview → 1st Interview & Assignment → 2nd Interview
(Additional tasks may be included during the steps)
🤓 A Message from the Team
Our team values horizontal collaboration and flexible work culture. We work closely across different roles to generate meaningful synergy. We aim to make rapidly advancing AI technologies practical, accessible, and effective in real-world industries. Rather than focusing only on sophisticated code or state-of-the-art models, we care deeply about delivering AI systems that are actually useful and easy to adopt.
If you're excited about building impactful AI solutions that make a real difference—and want to grow by solving challenging, real-world problems—we’d love to work with you.
Please Check Before Applying! 👀
- This job posting is open continuously, and it may close early upon completion of the hiring process.
- Please ensure that sensitive personal information, such as salary details, ID number etc., is not included in your resume.
- 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.
- Veterans and individuals with disabilities will receive preferential treatment in accordance with relevant regulations.
🔎 Helpful materials
👋 About the Team
The Solution Tech Team plays a vital role in developing and deploying AI-powered solutions across various industrial domains such as ITS (Intelligent Transportation Systems) and industrial safety. Leveraging state-of-the-art technologies—including Computer Vision and Vision-Language Models (VLMs)—the team delivers scalable, production-ready AI systems tailored to real-world environments. By joining the team, you will gain hands-on experience across the entire technical pipeline, from AI model development to real-world deployment, while working with real industry data to refine and enhance AI models.
📌 What You’ll Do at This Position
You’ll work on real-world, hands-on projects that leverage AI technologies to address problems in diverse industrial domains. Rather than stopping at model development, you’ll be involved in the entire solution pipeline—from planning and experimentation to deployment in practical settings. You’ll participate in regular tech studies based on the latest papers, analyze model performance, and collaborate with experienced AI application developers to create production-ready AI systems.
✅ Key Responsibilities
- Apply and validate Vision-Language Models (VLMs) in new domains
- Fine-tune multimodal models and design evaluation metrics
- Develop auxiliary recognition features using Computer Vision (CV) models
- Design experiments and analyze results to derive improvement strategies
- Select and deploy optimal models aligned with business objectives
*Portfolio submission is required.
✅ Requirements
- 2+ years of practical or research experience in relevant fields such as VLM, Vision, or Multimodal AI
- Hands-on experience developing and evaluating models using VLM or CV techniques
- Proficiency in deep learning frameworks such as PyTorch or TensorFlow
- Strong foundational programming skills demonstrated through a relevant degree (e.g., Computer Science, AI) or equivalent projects/research experience
- Ability to logically analyze experimental results and communicate findings effectively
✅ Pluses
- Experience with leading VLM architectures and their practical applications
- Experience in deploying CV models in production environments
- Familiarity with MLOps practices or model serving infrastructure
- Experience reading, reviewing, or publishing relevant academic papers
✅ Hiring Process
- Document Screening → Screening Interview → 1st Interview & Assignment → 2nd Interview
(Additional tasks may be included during the steps)
🤓 A Message from the Team
Our team values horizontal collaboration and flexible work culture. We work closely across different roles to generate meaningful synergy. We aim to make rapidly advancing AI technologies practical, accessible, and effective in real-world industries. Rather than focusing only on sophisticated code or state-of-the-art models, we care deeply about delivering AI systems that are actually useful and easy to adopt.
If you're excited about building impactful AI solutions that make a real difference—and want to grow by solving challenging, real-world problems—we’d love to work with you.
Please Check Before Applying! 👀
- This job posting is open continuously, and it may close early upon completion of the hiring process.
- Please ensure that sensitive personal information, such as salary details, ID number etc., is not included in your resume.
- 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.
- Veterans and individuals with disabilities will receive preferential treatment in accordance with relevant regulations.
🔎 Helpful materials