Posted:3 weeks ago|
Platform:
Work from Office
Full Time
Job overview:
In this role, youll 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.
Can you say Yes, I have! to the following?
5+ years of experience with developing solutionsusing machine learning, operation research and pattern searching methods onlarge scale data.
B.E/B.Tech/MSin Machine Learning, ComputerScience,Applied Statistics, Mathematics, or related fields. PhD is a plus
Good understanding of statistical models likehierarchical models, stochastic models, time series, survival and econometricmodels
Expert in at least one of the deep learningframeworks such as PyTorch, MxNet, or Tensorflow
Hands-on experience in using Spark (Scalaor Pyspark) to process data at large scale and database schemadesign for ML pipelines a must
Contribution to open-source ML packages/researchpublications will be a huge bonus
Can yousay Yes, I will! to the following?
5+ years of experience with developing solutionsusing machine learning, operation research and pattern searching methods on largescale data.
Good understanding on statistical models likehierarchical models, stochastic models, time series, survival and econometricmodels
Expert in at least one of the deep learningframeworks such as PyTorch, MxNet, Tensorflow.
Hands-on experience in using Spark (Scalaor Pyspark) to process data at large scale and database schemadesign for ML pipelines a must
Contribution to open-source ML packages/researchpublications will be a huge bonus
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