Engage customers to understand and assess customer requirements
Architecting and develop machine learning model as a solution
Address and overcome technical issues arise throughout the sales process and manage implementation and operations
Data Scientist 資料科學家
Cooperate with solution architects and sales to understand and assess customer machine learning use cases
Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of data structures and metrics, advocating for changes where needed for both products development and sales activity.
Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for, design, and assess improvements for clients
Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Research and develop analysis, forecasting, and optimization methods to improve customers current solution for particular use cases.
Conducting Machine Learning training sessions for end users and administrators
Google Cloud Platform 數據工程師 (Data Engineer)
Cooperate with sales to understand and assess customer requirements
Enables data-driven decision making by collecting, transforming and visualizing data.
Designs, builds, maintains and troubleshoots data processing systems with a particular emphasis on the security, reliability, fault-tolerance, scalability, fidelity, and efficiency of such system.
Conducting GCP training sessions for end users and administrators
Discover data acquisition and improvement opportunities.
Software Engineer 軟體工程師
Cooperate with data scientist, data engineer, and cloud architect to develop system for machine learning uses cases.
Work in an Agile, collaborative environment to understand requirements, design, code and test innovative applications, and support those applications for our highly valued customers.
Responsible for creating application programming interfaces (APIs) that are clean, well-documented, and easy to use.
Responsible for building new features, maintaining existing codebase, and solving all sorts of technical problems.
Responsible for Evaluating and improving the performance, durability, and security of published services
Responsible for Investigating and implementing cutting-edge technologies that enhance business value
Account Manager 客戶經理
Identify business opportunities to provide cloud solutions and and maintain relationships with customers, influence long-term strategic direction, and act as a trusted advisor.
Qualify and assist customers in identifying use cases suitable for services based on Cloud and help their deployment and future innovation.
Manage multiple opportunities through the entire cycle simultaneously, working with cross-functional teams as necessary. Serve as the primary customer contact for all adoption-related activities.
Act not only as advisor but also partner on client’s IT development to ensure their cloud strategy and implementation plan in line with latest cloud development trend.