Senior ML Engineer

7 days ago

Noida, India Anicalls (Pty) Ltd Full time

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.

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