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.
Skills that will help you succeed in this role:
Experience with deep learning applied to areas such as NLP and computer vision.
You have experience in distributed data processing frameworks like Hadoop, Spark or other similar frameworks.
You respect advanced data structures and can use them to solve your problems.
Python, Java, Scala or any other high level languages are a bonus.
You understand what it takes to deliver ML predictions in real time online applications.
Working knowledge of AWS or any other cloud platform.
