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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

Company highlights 外商 Fintech Company Provide Financial service and Blockchain service with not only virtual currencies exchange but also provide another fintech service e.g. Pocket, Infra Service. Over 250 PPL Description Develop and enhance the total rewards and benefit function to be competitive in talent attraction and retention, to support continuous business growth and expansion Develop structures that optimize hiring and maximize employee retention through internal and external market ana

1. System Integration & Automation: Collaborate with cross-functional teams to integrate different systems, thereby creating a seamless automated environment for marketing initiatives. 2. Marketing Strategy: Develop, implement, and optimize marketing automation strategies specifically aimed at promoting our AI Wize product to both B2B and B2C customers. 3. Campaign Development: Create and manage automated marketing campaigns that span multiple channels, including but not limited to email, social

Position Purpose: To help designated brands and achieve P&L target and budgets. To implement brand strategy and integrated marketing campaign to generate sales. Principal Accountabilities: 1. To support Product Manager to develop brand plan and oversee A&P to optimize brand investments and margins. 2. To support sales team with trade marketing plan execution excellence by connecting with potential channels and in charge of trade daily operations. 3. Cross function coop with

- C&C Channel management for 100% digital sales - Drive Thru management - Value Line rejuvenation for Transaction recovery - To discuss with other departments for campaign planning & execution, including Operation, Digital Operation and Finance team - To supervise media agency in delivering quality related report - Consumer research to optimize current menu - Monthly review and control on A&P budget - Support marketing campaigne for new type stores

Key Responsibilities - Serves as liaison between the customer and the Business Unit for assigned projects, ensuring clear understanding of customer issues and delivery of applicable solutions. - When necessary, works closely with customer to optimize tool performance to meet customer process and integration requirements. - Checks and approves operational quality of system equipment. Instructs customers in the operation and maintenance of the system. - Provides highly visible customer support thr

Key Responsibilities - Provides highly visible customer support through the performance of on-site installation, as well as overseeing any necessary diagnoses, troubleshooting, service, and repair of complex equipment and systems. - When necessary, work closely with customers to optimize tool performance to meet customer process and integration requirements. - Checks and approves operational quality of system equipment. Instructs customers in the operation and maintenance of the system. Requirem

*** Responsibilities *** 1. Develop a highly concurrent and scalable backend service using microservices. 2. 3rd-party API integrations 3. Optimize applications and data pipelines for maximum performance and scalability. 4. Foster a positive engineering culture by setting the standard and leading by example.

This role is embedded in the Factory Development & Projects Group within our Global Operations Engineering team in Taiwan. 【Your responsibilities】 •Lead the development and implementation of factory and plant layouts together with our internal planning and SME teams and external contractors (architecture, design, planning, etc.) •Ensure all stakeholder requirements are considered in the planning process and are translated into optimized factory designs, both from an Operational and Sustainabilit

About the role The Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We support various OLTP and analytics environments, including our Advanced Analytics and Digital Experience Management products.