by Adilin Beatrice

December 25, 2021

Many companies are opening their door for natural language processing jobs in 2021

Data is very important for many business operations. Unfortunately, more than 80% of the important data is either in unstructured form or is inaccessible to analysis. Therefore, the technology sphere has brought Natural language processing (NLP) into the picture. Natural language processing is a sub-technology of artificial intelligence that provides business organizations the leniency to get their hands on reliable data. With its amazing features, NLP helps enterprises understand the text and take valuable business decisions. However, business organizations need NLP professionals who can deal with NLP tools effectively. Therefore, many companies are opening their door for natural language processing jobs in 2021. Analytics Insight has listed the top natural language processing jobs that spirants should apply for today.

 

Top Natural Language Processing Jobs in Dec 2021

Natural Language Processing (NLP) Data Science Practitioner at Accenture

Location(s): Bengaluru

Roles and Responsibilities: As a natural language processing, data science practitioner at Accenture, 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 chain to help address the challenges of acquiring data, evaluating its value, distilling, and analyzing. They should examine data from multiple sources and share insights that provide a competitive advantage. Besides, the candidate should also engage in analyzing use cases to identity opp 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. 
  • Work experience on data science tools like R, Python, Custom tools, etc. is mandatory. 
  • He/she should be proficient in the application of ML NLP algos-regression classification, neural networks, etc. 
  • Excellent experience in interaction in the handling of clients is needed. 
  • The candidate should interpret data, analyze patterns, and show results using statistical tech.

Apply here for the job.

 

NLP, Data Scientists at Fractal Analytics 

Location(s): Mumbai, Bengaluru

Roles and Responsibilities: The candidate will be part of a high-impact team that is building the next generation of intelligence and language understanding for Crux intelligence. He/she should build text/voice-based search engine and question answering system for Crux intelligence. They will utilize the latest techniques in AI, ML, and NLU. The candidate should build topic analysis, text classification, and be well aware of named entity recognition methods for unstructured and semi-structured data. He/she should perform text mining, generate test working hypotheses, prepare and analyze historical data and identify patterns. 

Qualifications: 

  • Master/Bachelor’s degree in mathematics, statistics, computer science, or related fields is mandatory. 
  • The candidate should possess at least 2-0years of working experience in ML or NLP fields. 
  • He/she should have in-depth knowledge of various natural language processing/understanding domains such as entity extraction, speech recognition, topic modeling, parsing, question answering, etc. 
  • Experience in text mining is also needed. 
  • Experience in applied statistics including sampling approaches, modeling, and data mining techniques is much expected. 

Apply here for the job.

 

NLP Engineer at Uniphore

Location(s): Bengaluru

Roles and Responsibilities: Uniphore is looking for a natural language processing engineering to help the company improve its NLP products and create new NLP applications. At the position, the candidate is responsible for transforming natural language data into useful features using NLP techniques to feed classification algorithms. His/her 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 3+ years of work experience as an NLP engineer or a similar role. 
  • Understanding of NLP techniques for text representation, semantic extraction techniques, data structures, and modeling is mandatory.
  • He/she should have the ability to effectively design software architecture. 
  • Knowledge of Python, Java, and R is needed. 
  • They should have experience with machine learning frameworks. 

Apply here for the job.

 

NLP, NLG Expert Sr Staff at Qualcomm Technologies

Location(s): Bengaluru

Qualifications: 

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

Apply here for the job.

 

Data Scientist: ML and NLP Expert at Evalueserve

Location(s): Noida, Hyderabad, Gurgaon

Roles and Responsibilities: As a data scientist: ML and NLP expert, the candidate will be working in a fast-paced environment that needs a mindset of a startup and an entrepreneur that is not hesitant to constantly shift gears, test, and learn. He/she will build and implement advanced machine learning models. They should research, develop, and evaluate advanced text speed processing algorithms and implementations. 

Qualifications: 

  • The candidate should have at least 2 years of experience in designing and developing enterprise-scale NLP solutions in one or more of: Named entity recognition, document classification, document summarization, topic modelling, dialog systems, sentiment analysis, OCR text processing. 
  • The ability to design and develop a practical analytical approach is mandatory. 
  • He/she should have experience in analyzing large amounts of user-generated content and process data in large-scale environments using cloud infrastructure.
  • They should be able to analyze and model structured data using advanced statistical methods and implement algorithms. 

Apply here for the job.

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