This position requires to work with massive data from multiple applications Machine Learning projects.
Requirements:
Machine learning experience of 3-5 years of implementing and successfully deploying ML solutions at scale for real-world problems.
Own the application of machine learning algorithms.
Design and evaluate novel approaches for handling high-volume real-time data streams in a machine learning environment
Develop a feedback system to improve the selection of features for the algorithms.
Understand the theory and application of theory for common classification, clustering, regression and collaborative filtering. Curiosity to learn and implement latest developments in the field of data science.