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 Senior Machine
Learning Scientist, 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. This position directly works with leadership team and Founders to align research
with the vision of the company.
Drive the research and innovation at Haptik in result oriented direction
Mentor 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.
Foresee data requirements for future research projects and come up with innovative approaches
for data generation
Scale models for multiple domains with help of devops, backend and frontend teams.
Publish and present successful research in relevant journals and conferences
5+ years of industry experience or Post graduation with 3+ years of research experience in Machine
Experience working on variety of Datasets which includes text, images and other logs or clickstreams.
Proven and successful experience on at-least one of the projects amongst information retrieval,
machine comprehension, entity recognition, intent detection, semantic frame parsing or machine
Experience with training and tuning language model on large datasets
Experience working with SQL, NoSQL or graph Database
Proficient at programming in any one language
Relevant publications, patents or talks delivered in reputed conferences
Experience working on Indian language is bonus
Knowledge of parallel computing and hands on experience with Mapreduce algorithms is a bonus