G Talent
【Backend Engineer/Python(Contract)】AI×Data Sercurity Solution / Hybrid Work / JLPT N3 level
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★【Contract Employee】Back-end Engineer @Tech Unit | Featured AI CompanyJapanese: Business Level Required ★Hybrid Work & Flextime★Own Products/Services★Global Environment◆ Annual Salary: 5 million ~ 7 million yen. -------------【About the company】------------- The company works to provide technologies that allow you convenient access and use of your data, while at the same time ensuring security and protecting privacy. Conventionally security has been thought to reduce functionality and increase costs – they are shifting the paradigm where security lowers costs and increases functionality and customer satisfaction. The company is focusing on creating a society where knowledge can be shared freely, and data use can be sustainable. They are focusing on technologies that reduce data loss risk through privacy management and the protection of sensitive data – which also reduces profit loss and increases the transparency of AI data utilization. ①Secure computation software for databases that enables inter-company collaboration and computational processing of data in the encrypted state②Secret Calculation Software allows your AI and ML models to be encrypted and to take advantage of secure computing.③Secret Computation Package : safe and secure data access environment for projects with multiple organizations and stakeholders. -------------【 Job Description】------------- 【About the Company】Founded in December 2016, the company operates businesses centered around two core pillars: "Securely Collecting Data" and "Transforming Data into Value." The company provides a proprietary Privacy-Preserving Computation Platform capable of aggregating, analyzing, and processing AI workloads while keeping data fully encrypted. This platform contributes significantly to enabling secure data utilization both within corporate groups and across different enterprises. Since its inception, the company has accumulated a strong track record of awards and strategic collaborations with major enterprise players, including JR East, Toshiba, Mitsui & Co., and SAP Japan. ■Key Awards & Recognition・Excellence Award at the Tokyo Venture Championship (sponsored by the Tokyo Metropolitan Government)・Forbes JAPAN Rising Star Award・Winner at ICT SPRING EUROPE 2019・Director-General of the Small and Medium Enterprise Agency Award at the Japan Venture Awards 2020・EY Innovative Startup 2020・Global Winner (Finance & Regulated Industries Category) at GET IN THE RING The headcount has increased by 25 members over the past year, and the company aims to scale into a 100-person organization within the next two years. 【Recruitment Background】The company is seeking a Back-end Engineer for our Automated Control System Development Project for Overhead Hoist Transport (OHT) systems used in semiconductor manufacturing.Because the project assignment is predetermined prior to joining, you will be able to hit the ground running with a clear mission and clear objectives from day one. 【Responsibilities】・Design, implementation, and operation of backend APIs and server-side systems (primarily using Python)・Development of communication components for MCS (semiconductor manufacturing control systems)・Integration of features with the AI engineering team・Support for front-end development as needed・Maintenance of the overall system architecture and proposal of improvements 【Technology Stack】・Python・JavaScript・TypeScript・Vue.js・gRPC・Optimization algorithms 【Position Highlights】・A unique project that integrates multiple specialized fields, including AI and industrial communications.・A tight-knit, small team environment that allows you to take end-to-end ownership—from design to implementation and release—of your assigned components.・Global exposure, as the system you develop has the potential to be deployed in live operations at overseas facilities, offering valuable experience in a highly competitive global market. -------------【 Requirements】------------- Required・2+ years of backend development expe
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