In the digital world, natural language processing (NLP) is becoming as important as air. With or without knowing, we are using the subset of artificial intelligence at every moment of our life. Starting from AI assistants like Alexa to search engines, everything is powered by NLP technology. Not just simple works, natural language processing can even do big jobs extracting data from documents and enhancing the capabilities of machine learning algorithms. NLP stands as an umbrella term that covers other processes like sentiment analysis, text extraction, machine translation, conversational AI, text summarization, document AI, etc. Owing to the increasing usage of technology, NLP jobs are also becoming popular. Especially, unique career options like NLP scientists are getting traction like never before. NLP scientists transform natural language data into useful insights or features with the help of advanced artificial intelligence techniques. Their general responsibilities include collaborating with data engineers and visualization engineers to get the maximum out of data. Since NLP scientists are very hard to find, the job comes with lucrative packages and many other exclusive options. Analytics Insight has listed top NLP scientist jobs that aspirants shouldn't miss out in April 2022.
Location(s): Bengaluru
Roles and Responsibilities: As an NLP scientist, the candidate will research prototype new unsupervised algorithms using a combination of NLP and ML. He/she should implement the production version of the prototype for relevant domains. They should perform an in-depth analysis of failure points of algorithms in different environments. The candidate should improve precision-recall by using data generated by human agents at the failure point of the current algorithm.
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Location(s): Pune
Roles and Responsibilities: The candidate is expected to manage, architect, and analyze big data in order to build data-driven insights and high-impact data models. He/she should create a value to help address the challenges of acquiring data, evaluating its value, distilling, and analyzing it. They should examine data from multiple sources and share insights that provide a competitive advantage. The candidate should contribute to assets or offerings and thought leadership. They should act as subject matter experts in their area of expertise and enhance Accenture's marketplace reputation.
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Location(s): Mumbai
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Location(s): Bengaluru, Delhi (WFH during Covid)
Roles and Responsibilities: As an NLP scientist at EXL, the candidate should translate business requirements from the client into equivalent modeling tasks. He/she should actively manage and lead ongoing predictive modeling assignments. They should engage with clients, understand requirements, and suggest predictive modeling and ML solutions. The candidate should understand data and different platforms used by clients.
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Location(s): Mumbai, Bengaluru
Roles and Responsibilities: As an NLP scientist, the candidate should have in-depth knowledge of various natural language processing and natural language understanding domains such as entity extraction, speech recognition, topic modeling, parsing, question answering, etc. He/she should have expertise in text mining and an excellent background in machine learning and deep learning. They should have experience with data structures and algorithms.
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Location(s): Bengaluru
Roles and Responsibilities: Uniphore is leading conversational AI, harnessing the power of speech processing, conversational AI, and automation to build a unique platform and solution offering they call Conversational Service Automation, to power the next-generation AI-driven customer service. Speech natural language science is internal to the data science program and strategy at Uniphore. Therefore, the company is looking for an NLP scientist who is passionate about what they do and will push the boundaries of conversational intelligence to be part of this team.
Qualifications:
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