JD in Japanese follows. 英文の後に和文JDをご覧いただけます。 Machine Learning Engineer, Search ML- Mercari Employment Status: Full-time Work Hours: Full Flextime (no core time) Office: Roppongi For more details, see the Overview of Our Positions section on our Careers site.
本ポジションは日本語JDの用意がありません。 ML Operations Engineer (AI/LLM) - Mercari Employment Status: Full-time Work Hours: Full Flextime (no core time) Office: Roppongi For more details, see the Overview of Our Positions section on our Careers site. About Mercari Circulate all
About the Opportunity We are currently partnering with one of Japan’s fast-growing AI & DX companies, which is building a new Data Science organization focused on developing an advanced AI-ready data and machine learning platform. The
JD in Japanese follows. 英文の後に和文JDをご覧いただけます。 Class of 2028, 28卒対象 / Software Engineer Internship - Mercari Group Mercari is far from a finished product. It is precisely because we are a work in progress that there is
How about joining a brand-new, global, high-level team that aims to revolutionize the construction industry through digital transformation — creating a massive impact on Japanese society and the world? This role is a rare opportunity to
Role Overview We are seeking an experienced Technical Delivery Manager to lead and coordinate the end-to-end delivery of cloud engineering programmes on Google Cloud Platform. This role requires a balance of strong technical depth across GCP,
Job Description: We are looking for a talented GKE Administrator and Cloud Delivery Engineer to manage, scale, and evolve our Google Kubernetes Engine platform. The successful candidate will combine deep Kubernetes expertise with strong cloud delivery
We are seeking an experienced Vertex AI Engineer and Cloud Delivery Lead to drive the design, deployment, and operationalisation of machine learning solutions on Google Cloud. This role bridges AI/ML engineering and cloud delivery, ensuring that models
We are seeking an experienced Technical Delivery Manager to lead and coordinate the end-to-end delivery of cloud engineering programmes on Google Cloud Platform. This role requires a balance of strong technical depth across GCP, Kubernetes, Terraform,