Career Growth: Top NLP Scientist Jobs to Apply for in April 2022 – Analytics Insight



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April 2, 2022

NLP

Since NLP scientists are hard to find, the job comes with lucrative packages

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.

Top NLP Scientist Jobs to Apply For

 NLP Scientist at TVS Next

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.

Qualifications:

  • The candidate should have exceptional problem-solving skills and strong business/product thinking.
  • 4-years of relevant experience applying NLP, ML, text-mining, social network analysis, information retrieval, information extraction, AI, deep learning, and machine translation is expected.
  • He/she should be proficient with at least one programming language such as Python, JAVA, etc.
  • They should have skills in making sense of unstructured data and must have hands-on experience with Regex.

Apply here for the job.

Natural Language Processing (NLP) Data Science Practitioner at Accenture

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.

Qualifications:

  • The candidate should have at least 15-years of experience in any of the NLP application areas.
  • Multi-tasking and handling a cross-section of technology resources to deliver and meet organization goals is expected.
  • He/she should adopt Agile delivery and team management.
  • They should have experience independently managing a project technically.

Apply here for the job.

Data Scientist/NLP Specialist at Anicalls

Location(s): Mumbai

Qualifications:

  • The candidate should have 5-years of professional experience in data science.
  • He/she should have skills in using BI tools for data visualization like Tableau.
  • They should have experience extracting insights from large datasets using advanced python.
  • The candidate should have experience working with complex unstructured and semi-structured data.

Apply here for the job.

Data Scientist-NLP at EXL

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.

Qualifications:

  • The candidate should have 1+ years of experience in Analytics consulting/data analytics roles.
  • Experience in leading a team of 3+ members is mandatory.
  • He/she should have a Bachelor’s degree from Tier I/II colleges.
  • They should have proficiency in Python/PySpark, SQL, Excel, etc.

Apply here for the job.

NLP, Data Scientist at Fractal Analytics

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.

Qualifications:

  • As an NLP scientist, the candidate will be a part of a high-impact team that is building the next generation in intelligence and language understanding for Crux intelligence.
  • He/she should build a text/voice-based search engine and question answering system for Crux intelligence.
  • They should utilize the latest techniques in AI, ML, and NLU.
  • The candidate should build topic analysis, text classification, named entity recognition methods for unstructured and semi-structured data.

Apply here for the job.

Senior NLP Scientist at Uniphore

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:

  • The candidate should have 3+ years of hands-on experience, developing production-grade NLP systems using open source technologies.
  • Hands-on experience with NER/L, information extraction, and summarization methods are mandatory.
  • He/she should have a deep understanding of the challenges specific to the application of NLP methods to conversation analytics and automation.

Apply here for the job.

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