Hi,
We have urgent openings for Language Modelling Researcher / Senior Researcher.
Please refer to below Job description and if you find this opportunity suitable to your experience then please reply with your updated resume along with below details:
Current CTC:
Expected CTC:
Notice Period:
Please share resumes on sa***********e@ce****e.com
Roles and Responsibilities :
Conduct experiments to assess the quality of language models and study the effect of language modelling variants and ancillary natural language processing technology (such as auto-punctuation) on speech recognition accuracy.
Identify, optimize, and cluster training data.
Analyse product usage data to identify areas of possible improvement or enhancement of language modelling process, method, and NLP techniques.
Implement of improved training recipes and NLP prototypes utilizing primarily Python and/or Perl.
Discuss and present ideas, progress, and results within the research team.
Improve language modelling performance in multiple languages.
Skills Required:
Experience : 3 - 10 Years
Advanced degree (Masters or PhD) in computer science, computational linguistics, applied mathematics, or a related field.
Background in speech technology, computational linguistics, statistical machine translation and/or natural language processing.
Extensive knowledge and hands-on experience with statistical language modelling, including estimation methods, smoothing, pruning, efficient representation, interpolation, etc.
Good software engineering skills, knowledge of scripting languages (e.g. shell scripting, Perl, Python) and experience working under both Linux and Windows.
Solid written and oral communication skills in English.
Good to Have:
Preferred skills:
Explicit (industry or academic) experience with large vocabulary speech recognition.
Experience with exponential language models, discriminative training, unsupervised adaptation and training.
Expertise in one or more of the following areas: machine learning, statistical modelling, information retrieval, deep learning, data mining, linguistics.
Fluent in a second, non-English language.
Keyskills: Speech Recognition Computational Linguist Speech Technology NLP Linux Natural Language Processing Computer Science Unix Shell Scripting Perl Mathematics Applied Mathematics Python
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