2+ years of experience in commercial development
Good knowledge of Python programming language
Experience in data analysis libraries: Pandas, Numpy, Sklearn.
Experience in ML libraries: Sklearn, Tensorflow, PyTorch.
Good knowledge of SQL
Understanding of statistics
Understanding of best backend architecture practices used in the project
Experience in developing of ETL pipelines
At least Intermediate level of English
Developing of serverless applications
Building ETL pipelines
Using ML libraries for data analysis
Building infrastructure around ML solutions
Code optimization for maximum speed and scalability
Build reusable code and libraries for use across the platform
CreatorIQ is the global system of record for managing and optimizing creator-driven campaigns at scale. Powerful enough for the world’s biggest enterprises and nimble enough for its most innovative, CreatorIQ’s Enterprise Creator Cloud enables intelligent creator discovery, streamlines end-to-end workflow, ensures brand safety, and drives meaningful measurement. Airbnb, CVS, Dell, Disney, Mattel, Salesforce, Tiffany&Co., and Unilever utilize our platform to drive real business results across their storytelling ecosystems.
Technological stack that we use:
BE: РНР, Laravel; Python, GO, Node.js
FE: Angular 5, React, RxJS, Webcomponents, Webpack
Other tools and technologies: MS SQL Server; ElasticSearch; AWS (Lambda, Redshift, etc); Git; Jenkins; CI/CD
50+ engineers: 20+ back-end developers, 15+ front-end developers, 14+ QA engineers. There are also Application Developers and Support Team.
Technical interview with Python Team Lead and HR. Without home tests.