Lead/Principal Data Scientist - Recommender Systems

Lead or Principal Data Scientist ( Recommender Systems )

Educational Qualification :B. Tech / M. Tech/ PhD in Computer Science or any quantitative discipline( Math or Statistics)

Experience : 5-10 years in Data Science to design and build Machine Learning(ML) systems using cutting edge software principles and systems, ML Models & Data Infrastructure. with specific exposure to Recommender Systems.

Role Responsibilities :

- Design and implement the machine learning lifecycle at scale, from building the data infrastructure to train/test Machine learning models to their production environments.

- Develop ML solutions by gathering Machine Learning needs, conferring with end customers/Data &Analytics team members, understanding data infrastructure and architecture, and work processes.

- Able to understand of Machine Learning principles including standard algorithms for Regression and Classification, Deep Learning constructs (RNN, CNN, RBMs, Auto Encoders, GANs) and AI systems such as Vision, Voice to Text, NLP/NLU and Recommender systems