Mar 29, 2019

Software Engineer, Data

Job Responsibility:

  • Develop and implement Machine Learning pipeline infrastructure, including but not limited to: ETL (Extract, Transform and Load) of raw data into model features and building platform to automate ML training, testing and maintenance.
  • Partnering with Data Scientists to transform prototypes of predictive models into high performance, well integrated systems.

Qualifications:

  • 1-2 years (for Junior role) and 3-5 years (for Senior role) of relevant experiences in Software Engineering or Data Engineering
  • Ability to write robust code in Python
  • High degree of proficiency with RDBMS (i.e. MySQL, PostgreSQL) and No-SQL platforms (i.e. S3)
  • Having baseline knowledge of data structures, data modelling and software architecture related to Machine Learning
  • Strong interest in building scalable and reliable Machine Learning/ AI related services
  • Past experience working with cloud services platform to build data pipeline, monitoring, scheduler and storage, preferably on AWS environment.
  • Familiarity using a distributed computing platform, such as Hadoop or Spark is a plus