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Natural Language Processing

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Natural Language Processing
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Mohsin T., Natural Language Processing Developer

- 5 years of experience in developing and maintaining complex Tableau dashboards and reports using multiple data sources for diverse industries - 2 years of experience with Qlik; led the design and development of interactive dashboards using Qlik Sense, Power BI, and Tableau; designed and implemented data models in Qlik Sense, facilitating data discovery and exploration. - Upper-Intermediate English

Natural Language Processing

Natural Language Processing

Tableau

Tableau   5 yr.

Qlik Sense

Qlik Sense   2 yr.

Andriy L., Natural Language Processing Developer

$30/hr
Identity Verified

• 10+ year experience with JAVA and Linux operating systems: Java 11, Spring Boot, Spring Data JPA, MySQL/MongoDB, ElasticSearch, Jenkins CI • Big Data, Data Engineering, NLP, Corpus Linguistics, ML, DL • Design and implement a distributed warehouse system (AWS migration), REST API design and cache implementation (1,000-10,000 requests/sec), Design and implement high-load microservices • Deliver special courses devoted to concurrency and prepared handbook on “Parallel and Distributed Computations” [technologies: (basics of OpenMP, MPI, CUDA, OpenCL), advanced in Java concurrency]; • Scientific projects at university related research increasing effectiveness of crypto-analysis • Upper-Intermediate English • Available Full-time • Ready to start in 2 weeks • No scheduled vacations within next 3months

Natural Language Processing

Natural Language Processing

Java

Java   15 yr.

Hadoop ecosystem

Hadoop ecosystem

Python

Python   3 yr.

Only 3 Steps to Hire Natural Language Processing Developer

1
Talk to Our Natural Language Processing Talent Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
2
Meet Carefully Matched Natural Language Processing Talents
Within 1-3 days, we’ll share profiles and connect you with the right Natural Language Processing talents for your project. Schedule a call to meet engineers in person.
3
Validate Your Choice
Bring new Natural Language Processing expert on board with a trial period to confirm you hire the right one. There are no termination fees or hidden costs.

Welcome on Upstaff: The best site to hire Natural Language Processing Developer

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Upstaff.com was launched in 2019, addressing software service companies, startups and ISVs, increasingly varying and evolving needs for qualified software engineers

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FAQs on Natural Language Processing Development

What is a Natural Language Processing Developer? Arrow

A Natural Language Processing Developer is a specialist in the Natural Language Processing framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a Natural Language Processing Developer through Upstaff.com? Arrow

Hiring through Upstaff.com gives you access to a curated pool of pre-screened Natural Language Processing Developers, ensuring you find the right talent quickly and efficiently.

How do I know if a Natural Language Processing Developer is right for my project? Arrow

If your project involves developing applications or systems that rely heavily on Natural Language Processing, then hiring a Natural Language Processing Developer would be essential.

How does the hiring process work on Upstaff.com? Arrow

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified Natural Language Processing Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a Natural Language Processing Developer? Arrow

The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.

Can I hire Natural Language Processing Developers on a part-time or project-based basis? Arrow

Yes, Upstaff.com allows you to hire Natural Language Processing Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of Natural Language Processing Developers on Upstaff.com? Arrow

All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.

How do I manage a Natural Language Processing Developer once hired? Arrow

Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.

What support does Upstaff.com offer during the hiring process? Arrow

Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.

Can I replace a Natural Language Processing Developer if they are not meeting expectations? Arrow

Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.

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Table of Contents

How and where is Natural Language Processing used?

How and where
  • Customer Feedback Analysis: Analyzing customer reviews to improve products
  • Chatbot Development: Creating AI chatbots for customer support
  • Sentiment Analysis: Determining public opinion on social media
  • Text Summarization: Generating concise summaries of long articles
  • Language Translation: Translating text between different languages
  • Named Entity Recognition: Identifying names of people, places, and organizations
  • Document Classification: Sorting documents into categories automatically
  • Speech Recognition: Converting spoken language into text
  • Keyword Extraction: Identifying important words in a document
  • Grammar Correction: Improving the grammatical accuracy of text

Compare Junior, Middle, Senior, and Expert/Team Lead Natural Language Processing Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 yearsTasks:

  • Assist in data preprocessing
  • Implement basic NLP algorithms
$60,000
Middle3-5 yearsTasks:

  • Develop NLP models
  • Optimize algorithms
$80,000
Senior6-8 yearsTasks:

  • Lead NLP projects
  • Provide technical guidance
$100,000
Expert/Team Lead9+ yearsTasks:

  • Architect NLP solutions
  • Mentor team members
$120,000

Quick Facts about Natural Language Processing.

Facts about
  • When Natural Language Processing Software was born in 1950
  • The most popular project types using this tech are chatbots and sentiment analysis.
  • The entry threshold for diving into NLP development is mastering Python and understanding linguistics.
  • The most popular related technology to NLP is Machine Learning.
  • Fun fact: The longest sentence ever parsed by an NLP system was 7,000 words long!

TOP Natural Language Processing Related Technologies

Related Technologies
  1. Python
  2. (Authors: Van Rossum, 1991)

  3. TensorFlow
  4. (Developed by Google Brain team, 2015)

  5. PyTorch
  6. (Author: Paszke, 2016)

  7. NLTK
  8. (Author: Loper and Bird, 2001)

  9. SpaCy
  10. (Author: Explosion AI, 2015)

What are top Natural Language Processing instruments and tools?

Instruments and tools
  • Spacy: Spacy is maintained by Explosion AI, released in 2015
  • NLTK: The Natural Language Toolkit, released by NLTK in 2001
  • Gensim: Gensim is provided by Radim Řehůřek, released in 2008
  • Stanford NLP: Stanford NLP tools by Stanford NLP Group, released in 2010
  • AllenNLP: AllenNLP by Allen Institute for AI, released in 2017
  • IBM Watson NLP: IBM Watson NLP by IBM, released in 2014

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