Haptik

Machine Learning Engineer

Location: Mumbai, 1 Vacancy - Fulltime

Conversational AI platform built at Haptik has been powering chatbots since 2013, way before chatbots were cool. ​We are currently looking to grow our Machine Learning team to strengthen and expand multiple research projects in the domain of information retrieval, intent and entity extraction from complex dialogues, personalising chatbots with emotions and personality. As Machine Learning Engineer, you should be willing to deep dive into Haptik’s exponentially growing text data consisting of more than 2 billion messages exchanged over more than 300 enterprise bots and build scalable, personalized and robust dialogue system using Natural Language Processing and deep learning.

Responsibilities

  • Understand various components of existing Machine Learning Pipeline at Haptik
  • Contribute to research team during experimentation phase and help them narrow down in conclusive direction
  • Experiments and prototype new ideas in the domain of transfer learning to better leverage data sources across languages using NLP and deep learning algorithms
  • Benchmark the prototype on Haptik’s Data to gain required precision
  • Perform in depth analysis of failure points of algorithm on different environments
  • Improve precision and recall of existing modules by using data generated by human agents at the failure point of current algorithm.
  • Scale models for multiple domains with help of devops, backend and frontend teams.
  • Foresee data requirements for future research projects and come up with innovative approaches for data generation
  • Publish and present successful research in relevant journals and conferences

Requirements

  • 3+ years of industry experience or Post graduation with 2+ years of industry experience in Machine Learning projects
  • In depth experience working on at-least one dataset out of natural language text, images, audio clips, system logs or clickstreams.
  • Hands on experience on at-least one of the NLP projects amongst information retrieval, machine comprehension, entity recognition, intent detection, semantic frame parsing, machine translation or speech recognition
  • Hands on experience working with deep learning algorithms and familiarity with one of the deep learning frame-work. For example - Tensorflow, Keras, Pytorch
  • Experience working with SQL, NoSQL or graph Database
  • Proficient at programming in any one language and familiarity with at-least one deep learning framework
  • Relevant publications, patents or talks delivered in reputed conferences is a bonus
  • Experience with training and tuning language model on large datasets is a bonus
  • Experience working on Indian language is bonus
  • Knowledge of parallel computing and hands on experience with Mapreduce algorithms is a bonus
  • Sense of responsibility and proven ownership
  • Strong communication skills
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