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Mohsin T.Qlik/Tableau Engineer

Tableau 5yr.
Qlik Sense 2yr.
Python
ETL
Microsoft Power BI
SQL
Deep Learning
Excel
Looker Studio
Natural Language Processing
...

- 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

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Seniority Senior (5-10 years)
Location Rawalpindi, Pakistan
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AL

Andriy L.Data Science / Java Software Engineer

$30/hr
Java 15yr.
Python 3yr.
Hadoop ecosystem
Scala
Hibernate/JPA
JavaFX
Spring
Spring Data
Spring Integration
Spring JDBC
Spring model-view-controller (MVC) framework
Swing
Vaadin
Mockito
NLTK
PyTorch
Apache Hive
Apache Oozie
Apache Spark
Apache Spark ML
AWS Athena
Apache Hive
Apache Spark
Apache Spark ML
AWS ElasticSearch
Cassandra
HDFS
HDP
Hibernate/JPA
MariaDB
MongoDB
MySQL
PostgreSQL
Apache Spark ML
Deep Learning
Machine Learning
PyTorch
AWS
GCP (Google Cloud Platform)
AWS API Gateway
AWS Cloudformation
AWS EC2
AWS ElasticSearch
AWS EMR
AWS Lambda
AWS RDS (Amazon Relational Database Service)
AWS S3
AWS SNS
AWS SQS
Agile
Scrum
TDD
Waterfall
Ansible
Bamboo
Gradle
Jenkins
Kubernetes
OpenVPN
Apache Maven
JMeter
JUnit
Mockito
Apache Oozie
Kafka
AWS API Gateway
BIND
Kerberos
LDAP
OpenVPN
Camunda
Eclipse
Nginx
OpenVPN
Terraform
CUDA
FairSeq
FindBugs
Grid Computing
JetBrains IntelliJ IDEA
JMH
KeyCloack
MPI
Natural Language Processing
Network technologies
OpenCL
OpenMP
PMD
Ranger
Raspberry PI
Spark MLLib
Spark Standalone cluster
Spring Boot
Stanford Core NLP
virtualization
...

• 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

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Seniority Senior (5-10 years)
Location Ternopil, Ukraine
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Want to hire Natural Language Processing developer? Then you should know!

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How and where is Natural Language Processing used?

  • 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.

  • 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

  1. Python

    2. (Authors: Van Rossum, 1991)

  2. TensorFlow

    3. (Developed by Google Brain team, 2015)

  3. PyTorch

    4. (Author: Paszke, 2016)

  4. NLTK

    5. (Author: Loper and Bird, 2001)

  5. SpaCy

    6. (Author: Explosion AI, 2015)

What are top Natural Language Processing 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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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.