s a Machine Learning Engineer, you will be expected to:
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.
We are excited to welcome dynamic robust Engineers, successful candidates frequently have a mix of the following qualifications:
1-2 years (for Junior role) and 3-5 years (for Senior role) of relevant experiences in Machine Learning, Software 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 modeling 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.
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