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60 Số nhân viên
台北市信義區東興路51號4樓
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MoBagel is an AI startup based in Silicon Valley, founded by AI scientists from Stanford and UC Berkeley in 2015. MoBagel provides a generative AI platform and various enterprise-level AI Agents designed to enhance data-driven decision-making and business process automation. Recognized by Gartner for the past five years, MoBagel's platform empowers over 11,000 brands across industries such as sales and marketing, supply chain, finance, and manufacturing, all driven by our vision to "Build AI Together and Beyond." Here are some of the credits that MoBagel has received: 2024 Emerging Tech Impact Radar: Artificial Intelligence 2024 Hype Cycle for Environmental Sustainability 2024 Hype Cycle for Data, Analytics and AI Programs and Practices 2024 Gartner’s Hype Cycle Builder in AI Innovation 2023 Market Guide for Augmented Analytics 2023 Hype Cycle for Environmental Sustainability 2023 Hype Cycle for Data and Analytics Programs and Practices 2022 Hype Cycle : AI For Sustainability 2022 Emerging Tech Impact Radar: Artificial Intelligence 2022 Emerging Tech Impact Radar: Robotic & Automation 2022 Market Guide for Augmented Analytics 2022 Market Guide for AI Startups 2021 Augmented Analytics BI and Data Science Solution 2020 Top10 Strategic Technology Trends - AI Democratization2019 Microsoft Accelerator (Taipei) Batch 1 Taipei Acceleration Program 2019 loT World Startup Elevate Pitchoff Winner, Pitch Group 4: loT Capabilities: AI & Machine Learning and Security 2016 Nokia Open Innovation Challenge 2016 (Europe)The top 3 winning teams 2016 SoftBank Innovation Program 1st Round Winners, 2016 G-Startup Worldwide SV Global Final Top 15 2016 Slush Asia 2016 Top 5 2016 G-Startup Worldwide Beijing Top 50 2014 Salesforce 1M Hackathon 6th place

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MoBagel's Product 1. Generative AI Builder Platform: This platform is used to develop various AI Agents, utilizing a No Code approach with tools like AutoML, MLOps, DataOps, Auto Time Series Forecasting, generative BI, and mainstream LLMs such as Open AI GPT and Meta Llama. It enables rapid creation of enterprise-level AI service applications for analysis, inference, and process automation. This platform is suitable for companies with basic AI or data science teams, allowing flexible and swift development of AI applications. 2. AI Agents: These agents enhance business process automation and intelligence, applying to areas such as sales & marketing, supply chain, finance, and manufacturing. They automate processes and enable precise decision-making through KPI and performance-oriented strategies. This product category is ideal for businesses with specific commercial scenarios who want to see immediate results.

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Cơ hội việc làm

Data Scientist 資料科學家 行動貝果有限公司
Lương hàng tháng NT$ 55,000+
台北市信義區
1年以上
*請至 【https://mobagel.typeform.com/to/ojShbwVv】 投遞履歷,於 104 投遞者恕不受理,謝謝你的協助* 1. Research, prototype, build, and maintain machine learning models to solve business problems. 2. Launch models to production and support machine learning platform development. 3. Perform exploratory analyses to scope high-value opportunities. 4. Build and maintain complex Airflow DAGs or equivalent to meet changing modeling, product, and engineering requirements. 5. Adhere to best software development practices. 6. Write technical documentation and share technical knowledge and decisions with the team.
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