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Role: Deploy, manage, and optimize machine learning models in production environments, ensuring seamless integration and efficient operations. Responsibilities: 1. Check deployment pipelines for machine learning models. 2. Review code changes and pull requests from the data science team. 3. Trigger CI/CD pipelines after code approvals. 4. Monitor pipelines, ensuring all tests pass, and model artifacts are generated/stored correctly. 5. Deploy updated models to production after pipeline

Responsibilities Design, support, maintain, and upgrade highly performant and tested APIs and internal services using tools like Python, Celery, Kubernetes, MySQL, Mongo, and Redis Migrate our platform and solution to support agnostic deployments. Design, vet, build and deploy scalable data pipelines (spanning data ingestion, ETL, and machine learning analytics) Architect test plans in order to implement maintainable code Interact with backend APIs and optimize responsiveness Research and select

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. 3. Build new and enhance existing tools to strengthen the internal toolbox of the Data

IT 架構，提供技術支持和解決方案 3.參與線上與線下活動並分享解決方案，協助業務獲得潛在客戶 4.GCP 服務相關技術研究，以及提供技術顧問諮詢服務 (IoT 、 Big data 、 Machine Learning) 5.GCP 技術部落格寫作

務理念，致力提供完整、快速、客製化的服務予我們的客戶。 這個職位我們需要研究與開發機器學習(Machine learning)演算法與深度學習(Deep learning)於資料分析與預測模型的建立，包含 1. 投資模型策略設計與資料

We are now hiring for a Senior Mixed-signal Design Engineer! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can

IdeasLab.com is an innovation lab and start-up studio building proprietary Artificial Intelligence (AI), machine vision, and human motion analysis technologies. The technology we are developing has the capability to perform both human limb tracking and instrument (bat, golf club, tennis racquet) tracking without the use of sensors. Recent advances in AI and deep learning now allow us to perform motion analysis recognizing both body and instrument key points using machine vision only. Responsibil

Hive Keychain is the leading non-custodial crypto wallet on the Hive blockchain. We provide both browser extensions and mobile Apps to our 100,000+ users. To date, over 50 dApps rely on us to secure their users' transactions, and this number keeps growing. We are now planning to expand to other chains and become a multichain wallet. Our first step towards this goal will be to integrate EVM (Ethereum Virtual Machine) chains into our

Introduction to the job ASML brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers-the world’s leading chipmakers-to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. ASML IT develops and del

Introduction Founded in 1984, ASML is the world's leading provider of lithography systems for the semiconductor industry, manufacturing complex machines that are critical to the production of integrated circuits and chips. ASML has its R&D and manufacturing operations in the United States, China, Taiwan, Korea and in Veldhoven, the Netherlands employing over 30,000 people. The IT organization of ASML supports information management, infrastructure and key business processes across ASML. Part of