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Nltk Jobs (NOW HIRING)

KBR

Data Scientist

Mclean, VA

$177K - $216K/yr

Develop and deploy advanced Natural Language Processing (NLP) solutions using Python libraries such as SpaCy, Gensim, and NLTK . * Design, train, evaluate, and optimize machine learning and deep ...

Yakamconsulting

Familiarity with NLP libraries and frameworks (e.g., NLTK, spaCy, Transformers). * Experience in working with Large Language Models is highly desirable. * Solid understanding of machine learning and ...

KBR, Inc.

Data Scientist

Mclean, VA · On-site

$177K - $216K/yr

Develop and deploy advanced Natural Language Processing (NLP) solutions using Python libraries such as SpaCy, Gensim, and NLTK . * Design, train, evaluate, and optimize machine learning and deep ...

KBR

Data Scientist with Security Clearance

Fairfax, VA · On-site

$177K - $216K/yr

Develop and deploy advanced Natural Language Processing (NLP) solutions using Python libraries such as SpaCy, Gensim, and NLTK. * Design, train, evaluate, and optimize machine learning and deep ...

KBR, Inc

$177K - $216K/yr

Develop and deploy advanced Natural Language Processing (NLP) solutions using Python libraries such as SpaCy, Gensim, and NLTK. * Design, train, evaluate, and optimize machine learning and deep ...

Info Way Solutions

Data Science

Fremont, CA · On-site

... NLTK and R libraries like ggplot2, dplyr, Lattice, Highcharter etc. • Experience with cloud services such as : Azure Cloud, Databricks, Azure HD Insights, ADF or similar • Advanced working SQL ...

KBR, Inc

Data Scientist

Mclean, VA · On-site

$177K - $216K/yr

Develop and deploy advanced Natural Language Processing (NLP) solutions using Python libraries such as SpaCy, Gensim, and NLTK. * Design, train, evaluate, and optimize machine learning and deep ...

Software People, Inc.

AI Developer

Lansing, MI · On-site

Skills Needed * 3+years in TensorFlow, PyTorch, Keras, or Scikit-learn. * 3+ years in microservices. * 3+years in SpaCy, NLTK, or Hugging Face's * 3+years in Tesseract, Google Vision API, or AWS ...

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Nltk information

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How much do nltk jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for nltk in the United States is $52.51, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $69.71 per hour, depending on experience, location, and employer.

What is NLTK?

NLTK, or Natural Language Toolkit, is a Python library used for working with human language data (text). It provides easy-to-use interfaces to over 50 corpora and lexical resources, along with various text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning. NLTK is widely used in research and teaching for natural language processing (NLP) tasks, making it a popular choice for prototyping and building text analysis applications. It's particularly valued for its comprehensive documentation and active community support.

What skills and qualifications are needed to work with NLTK?

To thrive as an NLP Engineer using NLTK, you need a solid background in computer science, strong programming skills in Python, and a good understanding of linguistics and natural language processing concepts. Familiarity with NLTK, other NLP libraries (like spaCy), and experience with machine learning frameworks and data processing tools are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you develop robust language models and collaborate with interdisciplinary teams. These skills are crucial for building accurate, efficient, and innovative NLP solutions that meet user and business needs.

What challenges do professionals face when working with NLTK?

Professionals using NLTK for natural language processing often encounter challenges such as handling large datasets efficiently, ensuring compatibility with diverse text formats, and integrating NLTK with other machine learning libraries. Additionally, because NLTK is primarily used for research and prototyping, deploying production-ready solutions may require additional effort in optimizing performance and scalability. Collaborating with data engineers and software developers is common to address these challenges and deliver robust NLP applications.

What is the difference between Nltk vs Text Analyst?

AspectNltkText Analyst
Required CredentialsKnowledge of Python, basic programming skillsDegree in linguistics, data analysis, or related field
Work EnvironmentProgramming, data processing, research projectsData interpretation, report writing, client interaction
Industry UsageNatural language processing, AI, machine learningMarket research, media analysis, content evaluation

While Nltk is a Python library used for natural language processing tasks, a Text Analyst applies various tools, including Nltk, to interpret and analyze textual data. Nltk provides the technical foundation, whereas a Text Analyst focuses on deriving insights from data using such tools.

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Nltk jobs near you
Infographic showing various Nltk job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 92% Full Time, 1% Part Time, and 6% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $109,227 per year, or $52.5 per hour.

Lead Data Scientist (GenAI)

Atlanta, GA • On-site

Universal Business Solutions
51 - 200 employees
Learn more about Universal Business Solutionsexternal

Full-time

Re-posted 3 days ago

Job description

Job Summary:
Universal Business Solutions is seeking a Lead Data Scientist (GenAI) to design and deliver enterprise-scale AI solutions using LLMs, RAG, and MCP. The role involves partnering with business and technical leaders to build secure, scalable, high-value GenAI capabilities across the organization.
Responsibilities:
• Lead GenAI architecture and design scalable solutions for enterprise use cases.
• Build modular LLM pipelines using LangChain, LlamaIndex, and similar frameworks.
• Define prompting, agent, and RAG strategies that can be reused across teams.
• Manage the full lifecycle of GenAI projects from development through deployment and MLOps.
• Ensure responsible AI including governance, compliance, and explainability.
• Evaluate emerging AI trends and guide the adoption of high‐value innovations.
• Collaborate with cross‐functional teams to translate business needs into scalable AI solutions.
Qualifications:
Required:
• Bachelor's degree in computer science, data science, ML, NLP, AI, linguistics, or related field.
• 4–7+ years in Data Science, ML, NLP, or AI.
• Hands‐on LLM experience including building, fine‐tuning, and deploying models in production.
• Strong Python skills (Scikit‐learn, PyTorch, Pandas, NumPy, spaCy, NLTK, Matplotlib).
• Experience with SQL, NoSQL, and vector databases (Milvus, Pinecone, PGVector).
Preferred:
• Advance degree a plus
Company:
Universal Business Solutions specializes in business consulting, IT talent acquisitions, training, and other IT services. Founded in 1995, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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