Anicalls | Jobs | Speech & Text Analytics Engineer Data Science | BigDataKB.com | 27-03-22

05/04/2022

Job Location: Chennai

Candidate should be able to:

– Build text-based search engine and question answering system for Q Degrees
-utilize the latest techniques in AI, ML (including Deep Learning approaches) and NLU
– Build voice-based search engine and question answering system for Q Degrees
– Build topic analysis, voice recognition, text classification, named entity recognition methods for unstructured and semi-structured data
– Generate creative solutions in the field of Voice Bots and Chat Bots (patents) and publish research results in top conferences (papers)
– Perform voice/text mining, generate and test working hypotheses, prepare and analyze historical data and identify patterns
-part of a project team, to lead Speech & Text Bots for the next generation of intelligence and language understanding for better Consumer Insights
Candidate should have:
– Experience with data structures and algorithms; Ability to work in a Unix environment and building robust data processing and analytics pipelines
– Should be comfortable working with structured & Unstructured Data.
– Excellent background in Machine Learning (generative model, discriminative model, neural network, regression, classification, clustering, etc.)
– Experience in Developing and Deploying Voice Bots
– Have experience in developing Speech Bots / Speech to Text Models
– Experience in applied statistics including sampling approaches, modeling, and data mining techniques
– Extensive experience in using NLP-related techniques/algorithms such as HMM, CRF, deep learning & recurrent ANN, word2vec/doc2vec, Bayesian modeling, etc.
– Contributions to research communities, e.g. ACL, NIPS, ICML, EMNLP, etc. is a Plus
– Ability to work as ICR in coordination with existing IT developers
– Ability to work independently under tight deadlines with accountability.
– Strong results-driven personality with a high level of enthusiasm, energy, and confidence.
– Strong problem-solving skills.
– In-depth knowledge of various Natural Language Processing/Understanding (NLP/NLU) domains such as entity extraction, speech recognition, topic modeling, parsing, question answering, Relation Extraction, Ontology, etc.