Job Location: Noida

• Education: Bachelors degree

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.
• NLP
• HMM
• CRF
• deep learning recurrent ANN
• word2vec/doc2vec
• Bayesian modeling

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