Top natural language processing positions to apply for in December 2021


by Adilin Béatrice


December 25, 2021

Many companies are opening their doors to natural language processing jobs in 2021

Data is very important for many business operations. Unfortunately, over 80% of important data is either in unstructured form or inaccessible for analysis. Therefore, the technological sphere has introduced natural language processing (NLP) into the picture. Natural language processing is a sub-technology of artificial intelligence that gives businesses the leniency to get their hands on reliable data. With its amazing features, NLP helps businesses understand text and make valuable business decisions. However, businesses need NLP professionals who can effectively manage NLP tools. Therefore, many companies are opening their doors to natural language processing jobs in 2021. Analytics Insight has listed the best natural language processing jobs that candidates should apply for today.

Best Natural Language Processing Jobs in December 2021

Natural Language Processing (NLP) Data Science Practitioner at Accenture

Locations): Bangalore

Roles and responsibilities: As a Natural Language Processing and Data Science Specialist at Accenture, the candidate is expected to manage, design and analyze big data in order to create data-driven insights and high impact data models. He / she must create a value chain to help meet the challenges of data acquisition, valuation, distillation and analysis. They must examine data from multiple sources and share information that provides a competitive advantage. In addition, the candidate should also engage in use case analysis to identify the opportunity to apply NLP.

Qualifications:

  • The candidate should have a graduate or post-graduate degree in B Stat / M Stat / B.Tech / BE / Diploma in Data Science.
  • Experience working on data science tools like R, Python, custom tools, etc. is obligatory.
  • He / she must master the application of the ML NLP algos-regression classification, neural networks, etc.
  • Excellent experience in customer management interaction is required.
  • The candidate is expected to interpret data, analyze models and show results using statistical technology.

Apply here for the job.

PNL, Data Scientists at Fractal Analytics

Locations): Bombay, Bangalore

Roles and responsibilities: The candidate will be part of a high impact team that is building the next generation of intelligence and language comprehension for Crux intelligence. He / she should create a text / voice search engine and question answering system for Crux Intelligence. They will use the latest techniques in IA, ML and NLU. The candidate should build subject analysis, text classification and be familiar with named entity recognition methods for unstructured and semi-structured data. He / she must perform text mining, generate test working hypotheses, prepare and analyze historical data and identify patterns.

Qualifications:

  • A master’s / bachelor’s degree in mathematics, statistics, computer science or related fields is compulsory.
  • The candidate must have at least 2 to 0 years of professional experience in the fields of ML or NLP.
  • He / she should have in-depth knowledge of various areas of natural language processing / understanding such as entity extraction, speech recognition, subject modeling, analysis, answering questions, etc.
  • Text mining experience is also required.
  • Experience in applied statistics, including sampling approaches, modeling and data mining techniques, is highly expected.

Apply here for the job.

NLP Engineer at Uniphore

Locations): Bangalore

Roles and responsibilities: Uniphore is looking for a Natural Language Processing Engineer to help the company improve its NLP products and create new NLP applications. In the role, the candidate is responsible for transforming natural language data into useful functionality using NLP techniques to power classification algorithms. Its ultimate goal is to develop efficient self-learning NLP applications in production. They should study and transform data science prototypes. The candidate should design NLP tools and applications that help measure and diagnose performance issues.

Qualifications:

  • The candidate should have more than 3 years of work experience as an NLP engineer or in a similar role.
  • Understanding of NLP techniques for text representation, semantic extraction techniques, data structures, and modeling is required.
  • He / she must have the ability to effectively design a software architecture.
  • Knowledge of Python, Java and R is required.
  • They should have experience with machine learning frameworks.

Apply here for the job.

NLP, NLG Expert Sr Staff at Qualcomm Technologies

Locations): Bangalore

Qualifications:

  • The candidate is mandated to hold a bachelor’s degree in computer science, engineering or information systems.
  • He / she should have a solid theoretical understanding of the natural language processing model class, model architectures, etc.
  • Experience in building new Neural NLP architectures for different use cases and using correct datasets, achieving desired target accuracy is mandatory.
  • He / she should have practical experience with NLP and NLG models like BERT, GPT-2, GPT-3, Megatron-LM, etc.
  • They should have a good understanding of the different techniques for pruning and compressing models.
  • The candidate should have strong C / Python development skills.

Apply here for the job.

Data Scientist: ML and NLP Expert at Evalueserve

Locations): Noida, Hyderabad, Gurgaon

Roles and responsibilities: As a data scientist: expert in ML and NLP, the candidate will work in a fast-paced environment that needs the mindset of a startup and an entrepreneur who does not hesitate to constantly change speed, to test and learn. He / she will build and implement advanced machine learning models. They should research, develop and evaluate advanced word speed processing algorithms and implementations.

Qualifications:

  • The candidate must have at least 2 years of experience designing and developing enterprise-wide NLP solutions in one or more of the following areas: named entity recognition, document classification, document summary, subject modeling, dialogue systems, sentiment analysis, OCR word processing.
  • The ability to design and develop a practical analytical approach is mandatory.
  • He / she should have experience analyzing large amounts of user generated content and processing data in large scale environments using cloud infrastructure.
  • They must be able to analyze and model structured data using advanced statistical methods and implement algorithms.

Apply here for the job.

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