仕事内容●Recruitment Background
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.
●Responsibilities
・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
●Highlights of the Role
・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.
●Technical Environment
・Programming language: Python, C#(ASP.NET Core)
・Database: Microsoft SQL Server
・Machine Learning: Azure OpenAI
経験・資格●Required Qualifications
・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
・Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or equivalent knowledge/experience
●Preferred Qualifications
・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
勤務地
想定年収
福利厚生・待遇
勤務条件10:00～19:00
所定労働時間：8時間00分
休憩：60分
●完全週休2日制、祝日、年末年始（年間休日127日）
●有給休暇（初年度：年間10日）
※入社後3か月後に付与。家族の都合、体調不良等での前倒し取得も相談可
●自己啓発休暇
※入社6か月後から年1回いつでも5連休（前後土日含めた9連休）を取得可
●男性の産休5日
試用期間
3 months, same T&Cs apply as Permanent
Recruiting No.
社名
事業内容
【東証プライム上場 日本を代表する総合重工業メーカー】 社内SE（クラウドサービス基盤の構築・運用を担うインフラエンジニア）
【東証プライム上場 完成車メーカー】 プロダクト企画部 デジタルプロダクト開発における商品企画・プロダクトマネジメント
【東証プライム上場 日本有数の電機メーカー系プライムベンダー】 ITエンジニア（社会インフラのDX/GX事業 電力・エネルギー領域）
全員参加型のビジネス変革が成果を生み出し、キャリア人材の成長機会が増え続けています。
魅力ある地域と産業の未来を見つめ、 官民連携のあるべき姿を提言する
人々の生活や命を支えるため、「食料・水・環境」分野で地域に根ざした事業にチャレンジする
お客さま企業の企業価値向上を通して、資本市場の健全な発展を支えます
「成長の果実」を従業員の手に。 世界と日本で多くの企業が待ち望む、 新たな報酬制度の運用を支えたい。
世界水準の研究、技術資産を活かして、 非金融領域に新しい価値を生み出し、 お客さまの新しい事業を支え続ける。
