Do you love working with large complex data sets, like Search, Web Index, User event data?
Do you enjoy developing Machine Learning models using Python/R with in-house or open-source libraries to deliver meaningful insights?
Do you want to learn and apply Deep Learning techniques with toolsets such as CNTK, TensorFlow and PyTorch?
Design deep-learned models for solving complex business problems
Have an ability to mine large data sets with Cosmos, Hadoop or Spark like technologies
Transform data into innovative features/signals that can improve a machine-learning task
Build deep learning models and evaluate their quality on real life scenarios
Prototype new approaches and develop new algorithms using NLP & ML techniques
Work with other data scientists, engineers, UX experts to deliver a robust solution to the customer
Have an ability to self-learn new techniques from textbooks and research papers
Mentor junior data scientists on the team
Never compromise on engineering excellence and delivering quality at scale
Master’s degree in Computer Science, Engineering, Applied Mathematics, Statistics, or related fields
At least 5 years of experience in the areas of machine learning, information retrieval or natural language processing
Experience working on deep-learning models is a must
Proficiency and demonstrable skills using statistical or machine learning programming languages and packages (Python/R etc.)
Demonstrable skills and experience using SQL or NoSQL data stores
Excellent verbal and written communication skills