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Air Liquide
Air Liquide Laboratories is one of the main R&D centers of the Air Liquide group. Its goal is to develop new and innovative solutions for the entire Air Liquide group. Air Liquide Laboratories is located at Innovation Campus Tokyo, inaugurated in March 2019. The new facility promotes collaboration with customers, start-up companies and academic partners.
It gathers researchers and workers from all around the world in order to promote a multicultural work environment and skills diversity.
The Campus develops the latest thin film deposition and etching technologies for applications in electronics, batteries and fuel cells, as well as strategies and solutions for the entire supply chain, production, purification, storage, transportation and distribution of low carbon hydrogen.
Automate and scale the extraction of scientific and technical data from unstructured documents using advanced AI technologies.
How will you CONTRIBUTE and GROW?The main responsibilities will be:
Pipeline Architecture: Solidify data structure choices to enable static batch extraction from diverse formats.
Extraction: Leverage the latest AI technologies to automate data extraction.
Data Formatting & UI Integration: Structure extracted data to seamlessly feed end-user applications.
Tool Development: Build a user-friendly graphical user interface (GUI) for non-data scientists to validate data, create an export tool based on data attributes.
Algorithmic Optimization: Assist in developing statistical exploration methods with smart, data-driven sampling and prevent computational bottlenecks.
Reporting & Collaboration: Deliver timely and concise updates in internal meetings.
Safety: Join and actively contribute to safety and cybersecurity activities within ALL.職務内容データ処理の仕組み(パイプライン)づくり:様々な形式のデータを取り込めるよう、最適なデータの持ち方を設計し、安定して動くデータ処理の土台を構築します。AIを活用したデータ抽出の自動化:最新のAI技術を駆使して、ドキュメントからのデータ抽出作業の自動化をリードします。データの整形とシステム(UI)連携:抽出したデータを、社内のユーザーが使うアプリケーションへスムーズに連携できるよう、扱いやすい形に整理・加工します。社内向けツールの開発:データサイエンティスト以外のメンバーでも簡単にデータをチェックできるような、直感的で使いやすい画面(GUI)を開発します。また、必要な条件(属性)でデータを絞り込んでダウンロードできるエクスポートツールも作成します。データ処理の効率化(最適化):大量のデータを効率よく処理するため、統計的なアプローチを取り入れた賢いデータサンプリング手法の開発をサポートし、システムの処理遅延(ボトルネック)を防ぎます。チーム内での共有とコラボレーション:社内ミーティングにおいて、プロジェクトの進捗や成果をタイムリーかつ分かりやすくメンバーに共有します。安全なデータ運用の管理(セキュリティ):社内におけるデータの安全性向上や、サイバーセキュリティ対策の取り組みに積極的に参加・貢献します。Are you a MATCH?Required skills / Desired profile:
Education/Experience: Master’s degree in Data Engineering, Computer Science, or a related field.
Our Differences make our PerformanceAt Air Liquide, we are committed to build a diverse and inclusive workplace that embraces the diversity of our employees, our customers, patients, community stakeholders and cultures across the world.
We welcome and consider applications from all qualified applicants, regardless of their background. We strongly believe a diverse organization opens up opportunities for people to express their talent, both individually and collectively and it helps foster our ability to innovate by living our fundamentals, acting for our success and creating an engaging environment in a changing world.
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