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NLP
Need a pro for chatbots, sentiment analysis, or text mining? Upstaff’s NLP devs have built BERT-powered classifiers, fine-tuned GPT models, and parsed messy data with spaCy. We vet AI Developers for real-world wins—not just buzzwords. Drop your project specs, hire fast, get results that speak.
NLP

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Python
Data Science
NLP
AWS
AWS Lex
AWS ML (Amazon Machine learning services)
AWS SageMaker (Amazon SageMaker)
Azure OpenAI
BERT
ChatGPT
CLIP
FastAi
Gen AI
GPT
Keras
LangChain
LLaMA
LlamaIndex
NumPy
OpenAI
RAG
Scikit-learn
T5
TensorFlow
Vertex AI
VITS
Whisper
C#
Fortran
JavaScript
R
VBA
Beautiful Soup
Gensim
Matplotlib
NetworkX
NLTK
Pandas
PySpark
SciPy
Tkinter
CSS
HTML
Django
Django REST framework
FastAPI
Apache Airflow
Jupyter Notebook
Tableau
HDFS
HeidiSQL
Microsoft SQL Server
MongoDB
MySQL
MySQL Workbench
PostgreSQL
SQL
Azure
GCP
AWS EC2
AWS EMR
AWS Lambda
AWS S3
Cloud Functions
GCP Compute Instance
Google BigQuery
Apache Solr
App Clips
Atlassian Trello
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Redmine
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Kubernetes
Eclipse
MatLab
PyCharm
Sublime Text
Visual Studio
Google API
GraphQL
MOZ API
Git
TortoiseSVN
Kanban
Scrum
Linux
macOS
Windows
PGM
Selenium
BITS
Heap Analytics
MS CRM
Octave
Rest Framework
STT
TTS
...

- Data Scientist with a focus on Natural Language Processing and 16 years of experience in the IT industry; - Experienced in designing cloud-based architectures using BigQuery, Vertex AI, Cloud Functions, Datastore, and Cloud Storage; - Applies machine learning and deep learning techniques to solve problems in NLP, computer vision, and time series analysis; - Solid foundation in unsupervised learning methods, including clustering, anomaly detection, and recommender systems; - Skilled in full-cycle solution design, from requirements gathering to development and deployment; - Specialized in Generative AI, building advanced algorithms and models to address complex tasks using generative techniques; - Experience in ML model development for prediction, classification, and optimization use cases; - Proficient in Agentic AI, creating autonomous systems powered by LLMs for decision-making and workflow automation; - Experienced in text-to-speech technologies and implementation; - Experience with cloud platforms, including AWS (S3, EC2, Lex, Lambda, EMR), Azure OpenAI, and Google Cloud; - Developed applications across macOS, Linux, and Windows environments; - Creative and results-driven, with strong analytical, communication, and presentation skills.

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Seniority Senior (5-10 years)
Python
Computer Vision (CV)
Pandas
ML
AI
Deep Learning
Hugging Face
Keras
Kubeflow
Mlflow
NLP
NumPy
OpenCV
PyTorch
Scikit-learn
Spacy
TensorFlow
Matplotlib
NLTK
Plotly
poetry
SciPy
Streamlit
DVC
MySQL
AWS RT
GCP Storage
Google BigQuery
CI/CD
Jenkins
Docker
Git
Payment Gateways
Regexp
Sublime Text
argparse
Custom API
Deep Learning (DL)
Kubeflow for ML pipelines
Label Studio
MMCV
ONNX
Recommender Systems
tf-serving
Voxel51
YOLO
...

Data Science engineer with over 3 years of practical commercial experience in Natural Language Processing (NLP), Computer Vision (CV), and Recommender Systems. Available skills in data analysis using machine learning approaches to satisfy business needs, problem-solving, and other tasks in this sphere. A person, focused on obtaining the best results, using all knowledge and skills. Friendly and ready to help the team complete tasks and solve certain problems.

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Seniority Middle (3-5 years)
Location Ternopil, Ukraine
Data Analysis 4yr.
AWS ML (Amazon Machine learning services) 4yr.
Neural Networks
Data Mining
Business Analysis
AI
Computer Vision
Hugging Face
Keras
NLP
NumPy
OpenCV
PyTorch
Scikit-learn
TensorFlow
Xgboost
Python
FastAPI
Flask
NLTK
Pandas
Plotly
SciPy
Data visualization
DVC
Time Series
Docker
Git
Microsoft Visio
RabbitMQ
Computer Vision (CV)
Custom API
Deep Learning (DL)
tf-serving
YOLO
...

- Data Scientist with 4+ years of experience specializing in delivering insights and solutions using analytics, machine learning, and data science across diverse industries. - Profound technical expertise with Python, utilizing libraries such as pandas, numpy, TensorFlow, and Keras, and deploying solutions with tools like Docker and FastAPI. - Successfully led data science projects focusing on market analytics, computer vision, and content moderation, demonstrating a strong background in ETL pipelines, predictive modeling, and deploying RESTful services. - Holds a Master's in Computer Science, augmented with certifications from Google Cloud and DataCamp, and is proficient in implementing ML methodologies, including NLP, CV, and time series analysis. - Experienced in RDBMS such as MySQL and PostgreSQL, cloud platforms like AWS and GCP, and has practical knowledge of software development life cycles and agile methodologies. - Fluent in English and Ukrainian, embodying strong multidisciplinary team leadership, evident in the management of complex projects and innovative solution development.

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Seniority Middle (3-5 years)
Location Ternopil, Ukraine
Scala
NLP
Akka
Apache Spark
Akka Actors
Akka Streams
Cluster
Scala SBT
Scalatest
Apache Airflow
Apache Hadoop
AWS ElasticSearch
PostgreSQL
Slick database query
AWS
GCP
Haddop
Microsoft Azure API
ArgoCD
CI/CD
GitLab CI
Helm
Travis CI
GitLab
HTTP
Kerberos
Kafka
RabbitMQ
Keycloak
Swagger
Kubernetes
Terraform
Observer
Responsive Design
Unreal Engine
...

Software Engineer with proficiency in data engineering, specializing in backend development and data processing. Accrued expertise in building and maintaining scalable data systems using technologies such as Scala, Akka, SBT, ScalaTest, Elasticsearch, RabbitMQ, Kubernetes, and cloud platforms like AWS and Google Cloud. Holds a solid foundation in computer science with a Master's degree in Software Engineering, ongoing Ph.D. studies, and advanced certifications. Demonstrates strong proficiency in English, underpinned by international experience. Adept at incorporating CI/CD practices, contributing to all stages of the software development lifecycle. Track record of enhancing querying capabilities through native language text processing and executing complex CI/CD pipelines. Distinguished by technical agility, consistently delivering improvements in processing flows and back-end systems.

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Seniority Senior (5-10 years)
Location Ukraine
NLP 6yr.
LLM
AI
ChatGPT
GPT
Hugging Face
LangChain
LlamaIndex
OpenAI
PyTorch
Scikit-learn
Spacy
C++
Python
Boost C++
FastAPI
Pandas
Power BI
Vector
FireStore
MongoDB
PostgreSQL
SQL
Vector DB
AWS
Azure
GCP
Google BigQuery
Adtech
Banking
STL
ViennaCL
...

- Highly experienced Head of Data Science with 12+ years of experience in creating and managing DS/ML teams in startups and corporate projects; - Proficient in AI, NLP, Adtech, Fintech, and CV; - Strong leadership skills and a client-oriented approach; - Skilled in Python, SQL, Prompt Engineering, HuggingFace, PyTorch, Scikit-learn, Pandas, LangChain, LlamaIndex, Spacy, GPT, Plotly, GCP, AWS, Azure, Postgre, MongoDB, BigQuery, and Vector DB; - Proactive in implementing innovative approaches for product features using Generative AI, LLM, and GPT; - Experienced in proposing innovative solutions for new business problems and managing teams; - Holds a PhD in Data Science and a Master's degree in Computer Science.

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Seniority Expert (10+ years)
Location Portugal
System Architecture
JavaScript
Rust
Go
Java
Autopsy
Burp Suite
Kali
MPI DSS
Nessus
Nikto
OpenVas
OSSEC
OWASP
Sleuth
Tornado
Wireshark
Caffe
ChatGPT
Claude
CoPilot
DeepCoder
Gemini
GenAI
GPT
H20
LLaMA
Mistral AI
n8n
NLP
PyTorch
Scikit-learn
Shogun
TensorFlow
Cobol
Kotlin
PHP
Python
Solidity
Actix Web
Axum
Rocket
Apache Spark
Spring Boot
CodeIgniter
Laravel
Yii
Django
Flask
Ethers.js
Moleculer microservices framework
Express
NestJS
Node.js
React
Vue.js
ADLS
Apache Beam
Apache Glue
Azure Data Factory
Lakehouse
Microsoft Azure Synapse Analytics
Apache Hadoop
Bigtable
Cassandra
Clickhouse
Data Lake
ELK stack (Elasticsearch, Logstash, Kibana)
MongoDB
MySQL
PostgreSQL
Redis
Sequilize
Typeorm
Alibaba Cloud
Azure
GCP
Hetzner
AWS DevOps
Azure Blob Storage
Azure HDInsight
Dataflow
Google BigQuery
Ansible
Anycast DNS
BareMetal
GitLab CI
Jenkins
MetalLB
Atlassian Confluence
Jira
Miro
Notion
Redmine
Bash
BGP
Networking
Metasploit
Postman
ClickUp
Excel
Creatio
Navision
Termius
Draw.io
Figma
Foundry
Hardhat
OpenZeppelin
Rollups
Subgraph
Subsquid
Tokio
Truffle
Yul
ZK-Rollups
Git
Github Actions
Grafana
Prometheus
GraphQL
RESTful API
Kubernetes
Terraform
Atlassian
Azure Event Hubs
DICOM
EnCase
FHIR
FTK
HL7
RS-232
URT
X1
КУБ24
...

* Accomplished Solution Architect, Technical manager with 13+ years of progressive experience in architecture design and a comprehensive understanding of project management and software development. * Orchestrating process implementations, ensuring tasks are completed within strict deadlines and budget, and delivering tangible business benefits. * Operational expertise includes Strategic Planning, Process Optimization, Change Management, Risk Management, Compliance and Governance, Requirement Analysis, Delivery Management, Process Improvement, Client Engagement and Retention, Business Analysis, A/B analysis, Product strategy developing, Report generating, and Compiling result reports. * Leadership and Management: Team building, Stakeholder Management, and Conflict Resolution.

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Seniority Architect/Team-lead
Location Kyiv, Ukraine
Python
SQL
NLP
Gen AI
RAG
AWS Textract
Claude
DialogFlow
Docling
ElevenLabs
Gemini
Gemini 3
Grok
Hugging Face
Keras
LangChain
LangGraph
NumPy
OpenAI
PyTorch
Scikit-learn
Spacy
Whisper
Gensim
Matplotlib
NLTK
Pandas
Seaborn
MySQL
Oracle Database
PostgreSQL
Sphinx
SQL queries
GCP
Google Cloud Pub/Sub
Active Directory
Flux
API
GraphQL
Twilio
Unix
WildFly
Currency Cloud
Loco Translate
...

- Data Scientist with 4+ years of experience in AI and machine learning; - Specialized in NLP, time series forecasting, and generative AI; - Built RAG systems using OpenAI, Langchain, and custom pipelines; - Developed multi-agent systems for sales enablement, education, and virtual assistants; - Proficient in Python, SQL, and ML libraries like Pandas, Sklearn, Keras, and PyTorch; - Created legal assistants with HuggingFace models and citation-based RAG responses; - Built voice-based chatbots using OpenAI Whisper and ElevenLabs for voice cloning and audio processing; - Designed pipelines for text-to-speech and image generation in mobile and cloud environments; - Extracted and analyzed financial data using AWS Textract and OpenAI VLMs; - Built production-ready support bots using Dialogflow CX, Twilio, and Google Firestore; - Experienced with AWS and GCP for scalable model deployment.

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Seniority Middle (3-5 years)
Location Lviv, Ukraine
Machine Learning Algorithms 6yr.
Python 6yr.
NLP 6yr.
SQL 6yr.
Machine Learning Frameworks 6yr.
Deep Learning 5yr.
Keras 4yr.
Signal processing 3yr.
PyTorch 2yr.
R 1yr.
PySpark 1yr.
NumPy
Scikit-learn
Spacy
TensorFlow
Beautiful Soup
Gensim
Matplotlib
NLTK
Pandas
Plotly
SciPy
Seaborn
D3.js
Flask
Shiny
Superset
Time series analysis
Azure
GCP
Agile
Scrum
BitBucket
Git
SourceTree
Jira
RESTful API
Data Analytics
Data Visualization Tools
Predictive Analytics
Statistical modeling
Statsmodels
...

- About 6 years of experience in Data Engineering - Upper-Intermediate English. - Available ASAP.

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Seniority Senior (5-10 years)
Location India

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Manager
Maria Lapko
Global Partnership Manager
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Want to hire NLP developer? Then you should know!

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Table of Contents

How and where is NLP used?

  • Customer Feedback Analysis: Analyzing customer reviews to improve products
  • Chatbot Development: Building AI chatbots for customer support
  • Sentiment Analysis: Determining sentiment from social media posts
  • Machine Translation: Translating languages in real-time
  • Named Entity Recognition: Identifying names in text for data analysis
  • Text Summarization: Summarizing lengthy documents for quick insights
  • Speech Recognition: Converting speech to text for various applications
  • Topic Modeling: Organizing and understanding large collections of text
  • Document Classification: Categorizing documents automatically
  • Question Answering Systems: Developing systems to answer questions from text

Compare Junior, Middle, Senior, and Expert/Team Lead NLP Developer roles

Seniority NameYears of ExperienceResponsibilities and ActivitiesAverage Salary (USD/year)
Junior0-2 yearsResponsibilities & Activities:

  • Assist in NLP model development
  • Analyze text data
  • Implement basic NLP algorithms
  • Support senior developers
$60,000
Middle3-5 yearsResponsibilities & Activities:

  • Develop NLP architectures
  • Optimize NLP algorithms
  • Lead small projects
  • Collaborate with data scientists
$90,000
Senior6-8 yearsResponsibilities & Activities:

  • Design end-to-end NLP solutions
  • Lead NLP projects
  • Mentor junior developers
  • Collaborate with cross-functional teams
$120,000
Expert/Team Lead9+ yearsResponsibilities & Activities:

  • Define NLP strategy
  • Drive innovation in NLP
  • Manage NLP team
  • Collaborate with C-level executives
$150,000

Quick Facts about NLP.

  • Back in 1950, the dawn of NLP software development emerged.
  • Projects like chatbots and sentiment analysis rule this tech.
  • Entry to NLP needs a blend of linguistics and coding skills.
  • NLP’s BFF is Machine Learning, they’re inseparable.
  • Did you know? NLP helps bots understand human emotions!

TOP NLP Related Technologies

  1. NLTK
  2. spaCy
  3. Gensim
  4. Stanford NLP
  5. OpenNLP

What are top NLP instruments and tools?

  • spaCy: Tool for NLP in Python by Explosion AI, 2015
  • Gensim: Topic modeling and document similarity, 2008
  • Stanford CoreNLP: NLP analysis by Stanford NLP Group, 2010
  • NLTK: NLP toolkit in Python, University of Pennsylvania, 2001
  • BERT: Bidirectional Encoder Representations from Transformers by Google, 2018
Table of Contents

Talk to Our Expert

Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Manager
Maria Lapko
Global Partnership Manager

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FAQs on NLP Development

What is a NLP Developer? Arrow

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

Why should I hire a NLP Developer through Upstaff.com? Arrow

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

How do I know if a NLP Developer is right for my project? Arrow

If your project involves developing applications or systems that rely heavily on NLP, then hiring a NLP 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 NLP Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a NLP 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 NLP Developers on a part-time or project-based basis? Arrow

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

What are the qualifications of NLP 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 NLP 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 NLP 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.