What you'll do :

• In this role, you’ll be part of our Data Science team. With a track record of innovation and taking large ML-based products from conception to delivering value, 
• You will be responsible for developing ML and deep learning models to improve innovation within our Knowledge Graph curation.
• Your success will result in informed decision-making and stakeholder empowerment for Knowledge Graph use cases within Crayon. 
• You will also directly impact the evolution of our content catalogue.

What makes you a great fit :·

• 5+ years of experience with developing solutions using machine learning, operation research and pattern searching methods on large scale data.
• B.E/B.Tech/MS in Machine Learning, Computer Science, Applied Statistics, Mathematics, or related fields. PhD is a plus
• Good understanding of statistical models like hierarchical models, stochastic models, time series, survival and econometric models
• Expert in at least one of the deep learning frameworks such as PyTorch, MxNet, or Tensorflow
• Hands-on experience in using Spark (Scala or Pyspark) to process data at large scale and database schema design for ML pipelines a must
• Contribution to open-source ML packages/research publications will be a huge bonus