VISASQ operates a knowledge platform dedicated to its mission: "We make insightful connections possible." By leveraging an extensive global network of over 700,000 experts, we connect businesses challenges—from new business development and HR strategies to global expansion—with individuals possessing precisely the right knowledge. Our tailored solutions, including one-hour interviews, online surveys, and dedicated hands-on support, empower companies to overcome obstacles and achieve their most ambitious goals.

As a pioneer in Japan's Expert Network Service (ENS) industry, we aim to further enhance our market presence and become a global product that transcends regional and language barriers. To deliver value to users faster and drive growth, we are seeking engineers who can contribute to both engineering and architecture design by taking charge of designing and implementing autonomous AI agents leveraging predictive and generative models.

・Collaborating with English-speaking engineers at overseas subsidiaries on service development
・Designing, implementing, and validating machine learning models
・Promoting CI/CD pipelines, training, model monitoring, and version control based on MLOps best practices
・Optimizing machine learning model performance and scalability
・Fine-tuning large language models (LLMs) and designing/implementing training
・Stay current with the latest trends in machine learning, MLOps, and LLMs; researching and proposing new technologies and methodologies

・Work closely with the business side throughout the entire process, from problem-solving discussions and specification design to release and continuous improvement.
・In addition to solving challenges based on business-side requests, engineers are also encouraged to propose their own ideas.
・Since you can be involved from the planning stage of initiatives, this is an environment where you can make a significant contribution to the growth of the service as an engineer.
・Depending on your preferences, there may also be opportunities to work at our New York development hub and build a global career.

・Programming language: Python, C#（ASP.NET Core）
・Database: Microsoft SQL Server
・Machine Learning: Azure OpenAI

・Business-level English proficiency (speaking, reading, writing)
・Experience developing and operating machine learning models utilizing NLP (Natural Language Processing), or practical experience in data science (1+ years)
・Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or equivalent knowledge/experience

・Experience developing in public cloud environments
・Experience growing services through continuous development and operations while collaborating with cross-functional team members
・Business-level Japanese proficiency

#1: Screening / Casual Interview
#2: 1st Interview
#3: 2nd Interview:
#4: Final Interview

Tokyo (Head Office)MAP
1F and 9F, 4-7-7 Aobadai,Meguroku Tokyo 153-0042, Japan