Machine Learning Engineer (English)の求人

# ROMSについて ROMSにご関心いただきありがとうございます。 まずは[弊社コーポレートサイト](https://roms.inc/recruit)より、会社・事業概要をご確認ください。 弊社は2019年に創業し、EC/小売り/物流事業者/メーカー様向けに高性能小型自動倉庫とロボットピックを中心とした小型自動化ソリューションを企画・開発・販売するスタートアップ企業です。 30㎡クラスの超小型無人店舗を祖業とし、その要素技術を活用して直近では物流センターや工場向けに業界最高効率の小型自動倉庫システム（NFC：Nano-Fuifillment Center）をはじめ、立体高速ピース仕分機（Nano-Sorter）やロボットピッキングシステム等を全て自社で開発し展開しています。 2022年9月にKDDI様と渋谷にクイックコマース向けの無人店舗RCS（Robotics Convenience Store）を開店、総額12億円の資金調達を完了、23年2月には平和島にラボを開設し、本格的にEC/物流事業者/メーカー様向けの倉庫内物流の自動化領域へ展開を開始しました。以下、掲載記事ご参照ください。 * [Logistics Today記事](https://www.logi-today.com/602377) * [LNEWS記事](https://www.lnews.jp/2024/04/q0408303.html) * [MHジャーナル記事](https://www.jmhs.gr.jp/Summary/pdf/content%5F293.pdf) 特に物流向けのソリューションとして、以下動画のNano-SorterやNano-Streamを矢継ぎ早に開発、展開を開始しており、2024年に複数社への導入が決定、今後1-2年を目途に海外へも事業展開をしていく計画です。また、市場への浸透を加速すべく新たなプロダクト開発も常に行っており、展示会やセミナー等で積極的に打ち出していく予定です。 * [Nano-Sorter動画](https://youtu.be/LamIB5FIb68?si=aowxl8ifTjjOfXzu) * [Nano-Stream動画](https://youtu.be/RIRKvWEW9qk?si=6SHcgq%5F2Y9TvosAd) ## About ROMS Thank you for your interest in ROMS. First, please check our company and business profile on our corporate website. ☞https://roms.inc/ We are a start-up company established in 2019, planning, developing, and selling high-performance small automated warehouse solutions and robot picking systems for e-commerce/retail/logistics/manufacturers. Although we started with the development of ultra-compact autonomous stores in the 30㎡ class and, utilizing its elemental technologies, we have recently developed the industry's most efficient compact automated warehouse system for distribution centers and factories, as well as 3D high-speed piece sorting machines and robot picking systems, all in-house. In September 2022, we opened an unmanned store for quick commerce, RCS (Robotics Convenience Store), in Shibuya with KDDI and completed a total of 1.2 billion yen in funding. In February 2023, we opened a laboratory in Heiwajima and started expanding to the area of warehouse automation for logistics, e-commerce, and manufacturers. We already plan to implement our solutions for several companies in Japan and expand our business overseas in the next 1-2 years. We are also developing new products to accelerate market penetration, which we plan to actively promote at exhibitions and seminars this year. ## Why ROMS? * As a Data Scientist, we can offer you the opportunity to be involved in the development of new automated systems, platforms, and UIUX that will be used across the entire retail industry. * You can learn from members who have worked on large-scale system development for major Japanese manufacturers. * All ROMS engineers are involved right from the planning stage, allowing you to experience all aspects of the development process, from upstream to downstream. ## Job Description The Data Scientist will develop analytics, proposals, and tools to maximize store sales and operational efficiency based on order and inventory data from retailers that have implemented our NFC/RCS. Examples of data to be handled are: \- Real-time sales data from dozens/hundreds of stores with more than 100 orders per store every day \- Real-time inventory data at each store \- User customer information data ## Responsibilities * Collaborate closely with various teams such as business development, robotics engineers, automation engineers, etc. * Develop analysis and proposal tools based on client data * Design, develop and evaluate other related/derivative systems * Team development and recruitment ## Development environment * Language : Python * Machine Learning : Sklearn, PyTorch/Keras/TensorFlow * DB ：SQL (PostgreSQL, MySQL, MongoDB) * Cloud ：Amazon Web Services, Microsoft Azure, Google Cloud Platform * Other ：Docker, GitHub, Confluence ## Skills ### Required * Currently reside in Japan * A willingness to create new things on your own. * At least 3 years of experience in Python software development * Interest in the retail industry * English: Business level or above * Japanese language skills are not required. ### Welcomed * Experience in data analysis and tool development in the retail industry * Japanese: Business level or above