Responsibilities

Our ideal candidate will:

• 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

Qualifications

• 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