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*** If you're interested in this position, please email your English resume to HR Janet. ([email protected]) *** 【About Us】 SHL Medical is the world-leading solution provider in the design, development, and manufacturing of advanced drug delivery systems with more than 5000 employees worldwide. Our customers include top pharmaceutical and biotech companies from around the globe that require innovative devices such as auto injectors or pen injectors to effectively deliver their

一. 職務名稱:Data Scientist & Product Management Intern 二. 工作時間: 即日起至8/31，每周十五小時以上為佳。畢業後可洽談轉正可能 三. 工作地點:Skyco南京復興館 A933(若有遠端需求可討論) 四. 工作薪資:時薪250元 五. 工作

The Role: We are seeking an exceptionally talented data scientist with strong modeling and programming skills to join our team. In this role, you will work closely with data science team and technologists across the firm to develop appropriate features and metrics for data processing. Perform analysis and generate models of financial datasets using machine learning techniques Process, clean and verify the integrity of unstructured data and turn data into valuable insights Develop and create data

About us Gogolook is a leading TrustTech company established in 2012. With "Build for Trust" as its core value, it aims to create an AI- and data-driven global anti-fraud network as well as Risk Management as a Service. From multi-communication to fintech, and SaaS, Gogolook creates trustworthy empowerment with the use of technology in various fields. A founding member of the Global Anti-Scam Alliance (GASA), Gogolook has also teamed up with a number

About us Gogolook is a leading TrustTech company established in 2012. With "Build for Trust" as its core value, it aims to create an AI- and data-driven global anti-fraud network as well as Risk Management as a Service. From multi-communication to fintech, and SaaS, Gogolook creates trustworthy empowerment with the use of technology in various fields. A founding member of the Global Anti-Scam Alliance (GASA), Gogolook has also teamed up with a number

定性 持續迭代並優化資料基礎建設，以完善整個商業智慧系統 我們希望你有的經驗跟特質 對 Big data 和 Data-driven engineering 有極大的熱情 瞭解 ETL 或 ELT 的流程，並具備 Data Modeling 跟開發 Data Pipeline 的能力 具備與產品 / 行銷

We are looking for bright engineers who enjoy systems level programming, network devices and distributed systems. The role is that of a hands-on technical Date Plane Software Engineer to implement 4G/5G Interworking Network functions for the Ataya solution. You will be responsible for developing Core networking multi-threaded applications built on microservices for easy deployment on Kubernetes platforms. You will translate customer features into optimized and scalable network function implement

About the role Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. As a Staff Engineer on the Data Engineering Team you’ll be working on some of the hardest problems in the field of Data, Cloud and Security with a mission to achieve the highest standards of customer success. You will be building blocks of technology that will define Netskope’s future.

About the role Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. Netskope Private Access (NPA) is our new Zero-Trust Network Access (ZTNA) product that large Fortune 500 enterprises use and rely upon everyday for secure access to their private applications. NPA reduces risk by providing zero trust application access instead of network access. Click here to watch a demo video to

The Data Platform team enables our customers to ingest and perform real time analytics on critical security insights and intelligence data stored in our vast Data Lake and empower internal engineering teams to leverage the best datastore technology for their needs. Our Big Data technology stack consists of Kafka, Google PubSub, ClickHouse, Google BigQuery etc. We’re looking for software engineers with a background in distributed systems and are excited about the opportunity to work on large-scal