CloudMile is a young start-up team which enables clients in solving mission-critical challenges by leveraging top-notch artificial intelligence, cloud and security technologies with leading vendors in the markets.
As a “CloudMiler”, we thrive to be the leading Enterprise-grade Artificial Intelligence, cloud and security solutions providers in Asia. We are the First Google MSP (Managed Service Provider) Partner to acquire Infrastructure and machine learning Specializations in South East Asia with strong investments in R&D and technologies.
As a Data Scientist, he/she will collaborate with engineers and conduct machine learning solutions on industrial problems. This position’s responsibility includes working with stakeholders to identify opportunities for leveraging customer’s data to drive business solutions and develop custom data models and algorithms to apply to customer data sets. The right candidate will demonstrate the ability to work with a wide range of stakeholders and functional teams.
✦ 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 and building data warehouse solution
✦ 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
✦ Degree in e.g., statistics, bioinformatics, computer science, mathematics, economics, physics, engineering.
✦ 1+ years of programming experience in machine learning framework, Tensorflow、Pytorch、or Keras
✦ 1+ years of practical machine learning use cases in particular industrial applications.
✦ Excellent organization and communication skills.
✦ Have experience working with video analytics
✦ 1+ years of hands-on experience in Google cloud platform
✦ Familiar with restful framework (Django, flask, falcon, etc)
✦ Demonstrated skills in selecting the right statistical tools given a data analysis problem.
✦ Demonstrated effective written and verbal communication skills.
✦ Demonstrated willingness to teach others and learn new techniques.