Career Maker | Hiring | Research Scientist Engineer Machine Learning / NLP | BigDataKB.com | 2022-09-16

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Job Location: Bangalore/Bengaluru

Job Functions:

– Expertise in DNN Architectures {CNNs, LSTMs, Transformers} applied to Speech and Language Problems such as Question Answering, Summarisation, Semantic Understanding

– Review published literature, conceptualize novel algorithms, implement, evaluate and facilitate deployment of solutions for speech, natural language and dialog problems encountered in human conversations and analytics.

– Develop rich models for specific tasks by collecting, curating, coordinating annotations of spoken conversations, training and adapting machine learning models

– Tune model performance through feature engineering to optimize model performance by combining rules and machine learning techniques

– Integrate the developed models into Curo software and deploy them on Interactions Platforms.

– Document work through conference publications, file patent disclosures.

– Mentor junior associates as required.

Experience and Skills required:

– Masters (With 4 years of experience) or PhD degree (Fresher of With 1 years of experience) in Computer Science/ Statistics with experience in Machine Learning

– Proven success in applying Machine Learning models to practical problems

– Understanding of word & sentence representations like Word2Vec, Glove, Bert, ELMO etc

– Good understanding of pattern recognition algorithms like k-means, SVM, HMM, GMM, Neural Networks, Viterbi decoding etc

– Expertise in Python/C/C++

– Experience contributing to research efforts, including publishing in conferences

– Ability to demonstrate Interactions Values of:

– Being passionate about customer service

– Obsessing with our customer’s success

– Respecting each other

– Creating opportunity

– Embracing disruption

– Doing what we say we will do

Pluses:

– Experience working with machine learning tools, DNN tools, speech recognition tools, web crawlers, finite state machines, and open source natural language toolkits are a plus.

– Experience working with deep learning toolkits like PyTorch, Tensorflow etc.

Experience in natural language processing technologies and services with emphasis in one or more of the following:

– Data acquisition and NL modeling: harvesting NL resources from the Web, rapid bootstrapping of domain-specific and multilingual NL models for named-entity, syntactic parsing and text classification

– NL systems: large-scale development and deployment, performance monitoring, tuning and optimization of NL models

– NL methodology: grammar-based, data-driven and machine learning-based, hybrid approaches

– NL technologies: spoken language understanding, language translation, natural language search, syntax-semantics.

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