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LRS is an executive searching firm. There are several SW Engineer (BE/FE/UIUX/QA/Data/DevOps/SRE/PJM/PM/iOS/Android/IT) vacancies from different companies, please contact Blair for further details. LRS是一間高階獵頭公司. 我們有來自不同產業的工程師職缺 (BE/FE/UIUX/QA/

- Develop data records management processes and policies - Identify areas to increase efficiency and automation of processes - Set up and maintain automated data processes - Identify, evaluate and implement external services and tools to support data validation and cleansing - Produce and track key performance indicators of all digital channels (paid, owned, earned media) - Creating dashboards, data visualizations, and campaign and website performance reports. - Monitor and audit data quality -

學歷需求: 資訊工程相關、統計學相關、電機電子工程相關之碩士、博士 執行AI技術開發專案。大數據分析與建模。 舉辦內部統計與數值分析的教育訓練。 新AI技術導入，並協助成熟專案橫向展開。 熟悉

We are currently seeking an experienced professional with a strong background in data science and machine learning to join our team. As a Data Scientist for our streaming platform, you will be responsible for developing and optimizing our recommendation systems to enhance user experience and platform revenue. Key Responsibilities: -Design, implement, and maintain recommendation systems for our streaming platform by analyzing large volumes of user behavior and content data to provide personalized

MediaAlpha is a customer acquisition solutions provider powered by technology and data science. The company provides industry-leading solutions designed to reach consumers shopping within high-consideration categories such as property and casualty insurance, health and life insurance, personal finance, travel, education and more. We are looking for a talented Software Engineer to join our technology team. As a Software Engineer at MediaAlpha, you will take part in all aspects of the software dev

Our Core Analytics Data Science team is actively shaping the future of TV as it goes digital, using data to improve our platform. Our devices are powerful but light and delightful to use. Our advertising software empowers marketing professionals to connect with real people across all channels, including TV, capturing consumers’ attention when and where it matters most. We also develop algorithms to enable our content publishing partners to find and engage consumers. Work directly with

履歷，於 104 投遞者恕不受理，謝謝你的協助＊ 1. Conduct data science projects to help clients drive solutions and solve business problems from various domains using a wide range of data science techniques, including but not limited to Machine learning, data visualization, statistics, and so on. 2. Design, develop and maintain scalable automated machine learning and data science pipelines and applications to empower users to extract valuable results

We devoted to helping customers leverage the value of artificial intelligence (AI) to solve business pain points. We continue to research and develop AI and data-driven intelligent analysis modules for multiple solutions, covering 3 major sub-fields of AI / ML including natural language processing, computer vision, and data science to empower customers embark on AI-driven decisions, respond to market changes faster and develop new business competencies. .

NVIDIA’s Solution Architecture team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. We work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for

Rosetta.ai helps fashion e-commerce uncover consumer's shopping preferences and provide personalized shopping experiences to consumers. We're making e-commerce merchants have enterprise-level AI backup on day 1. We are seeking Deep Learning Engineers, dedicated to Recommender System, to join our data science team. The ideal person will have industry experience working on a range of classification and optimization problems, e.g.click-through rate prediction, recommendation systems, or search