Job overview:
In this role,youllbe part of our Data Science team. Witha track recordof innovation and taking large ML-based products from conception to delivering value, you willbe responsible fordeveloping 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 directlyimpactthe evolution of our content catalogue.
Can you say Yes, I have! to the following?
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, ComputerScience, 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 Tensor flow
Hands-on experience in using Spark (Scala or Py spark) 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
Keyskills: Data Science operation research PyTorch MxNet Tensor flow Machine Learning
Who are we?A young, fast-growing AI and big data company, with an ambitious vision to simplify the worlds choices. Our clients are top-tier enterprises in the banking, e-commerce and travel spaces. They use our core AI-based choice engine maya.ai, to deliver personal digital ex...