Python Cloud Engineer
We have a wide variety of projects to build mini products including:
Engineering cloud based DBs to collect data from a wide variety of data sources, storing, combining and aggregating data for pushin out to external visualisation software like Google Data Studio/Shiny
Machine learning applications to analyse the data and build these up into an API service that will interface with the cloud DB
Restrictions
- Telecommuting is OK
- No Agencies Please
Requirements
Experience of Google Cloud, AWS and BigQuery Connecting and querying APIs from other software Uses a host of libraries including Pandas, Numpy, Seaborn, Scikit-Learn, and NLTK. SSH’ing into servers to deploy and run code on large datasets Minimum Master’s degree or equivalent in a quantitative subject Good listener, sense of humour, curious, modest, hardworking and enthusiastic Participated in Kaggle competitions
You should have experience in most, if not all, of the above. If this is you, please apply. Your daily rate is for discussion depending on experience.
You’ll be expected to work normal business hours in European time, initially starting from 1 days a week remotely and we can increase it from there.
About the Company
We are a London based software that uses data science to make better marketing recommendations.
Desired Skills
Contact Info
- Company Website: http://artios.io/
