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Nltk Jobs (NOW HIRING)

Tror AI for everyone

Data Scientist

Baltimore, MD · On-site

Implement and optimize NLP techniques using tools like NLTK, SpaCy, or Transformers. * Build and integrate solutions using Large Language Models (LLMs) and Generative AI frameworks. * Perform data ...

Intellisoft Technologies

Python Developer

Sunnyvale, CA · On-site

$58.75 - $80.75/hr

NumPy, SciPy, Pandas, Polars, Plotly, dill, pycld2, SciKit-Learn, NLTK, Gensim, spaCy, iPython, pymongo, Gunicorn, nGinx • Ability to quickly learn new technologies and adapt to a fast-paced ...

Intellisoft Technologies

Python Developer

Austin, TX · On-site

$49.75 - $68.75/hr

NumPy, SciPy, Pandas, Polars, Plotly, dill, pycld2, SciKit-Learn, NLTK, Gensim, spaCy, iPython, pymongo, Gunicorn, nGinx. • Ability to quickly learn new technologies and adapt to a fast-paced ...

RIT Solutions, Inc.

SA - Data Scientist

Tampa, FL · On-site

... NLTK, and SpaCy • Create custom NLP algorithms and annotators to evaluate medical record data • Create custom tools to enable analysts to perform data research • Identify and analyze user ...

Intellisoft Technologies

Python Developer

Austin, TX · On-site

$49.75 - $68.75/hr

NumPy, SciPy, Pandas, Polars, Plotly, dill, pycld2, SciKit-Learn, NLTK, Gensim, spaCy, iPython, pymongo, Gunicorn, nGinx • Ability to quickly learn new technologies and adapt to a fast-paced ...

Marencor

Python Developer

Dallas, TX · On-site

$49.75 - $68.50/hr

Portfolio of LLM applications and sample projects * 2+ years of NLP experience using tools such as NLTK, SpaCy, and Beautiful Soup * 1+ years of LLM experience building RAG systems at scale (10,000 ...

Orison Solutions

Python Developer

Sunnyvale, CA

$59 - $81.25/hr

NumPy, SciPy, Pandas,Polars, Plotly, dill,pycld2,SciKit-Learn,NLTK, Gensim, spaCy, iPython,pymongo,Gunicorn,nGinx * Ability to quickly learn new technologies and adapt to a fast-paced development ...

New

IntraEdge

Engineer II Premium

Phoenix, AZ · On-site

$82K - $110K/yr

... NLTK, spaCy), pandas, Matplotlib - Vector databases (ChromaDB, FAISS, pgvector) - Cloud Deployment (AWS/GCP/Azure) - Docker - Git - AI/ML Skills: - Retrieval-Augmented Generation (RAG) - Prompt ...

K Anand Corporation

IVR BA with AI

Charlotte, NC · On-site

AI ML Very strong proficiency in Python Proven expertise in NLP, including Text classification Clustering Python ML NumPy, Pandas, Scikitlearn, XGBoost spaCy, Hugging Face Transformers, NLTK ...

K Anand Corporation

AI Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... NLTK, SentenceTransformers LangChain, LlamaIndex, OpenAI SDK Agentic AI (Good to Have) LangGraph, AutoGen, CrewAI Data & SQL Oracle, MySQL, Nice to have skills Architect and develop AIdriven IVR and ...

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Nltk information

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How much do nltk jobs pay per hour?

As of Sep 9, 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.

Senior Data Scientist

Ellicott City, MD • On-site

Omm IT Solutions
See more jobs at Omm IT Solutionsexternal

Contractor

Re-posted 13 days ago

Job description

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PLEASE NOTE:<\/b><\/span><\/span><\/u>\n
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  • It is 100% onsite position in Woodlawn, MD.<\/b>\n
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  • Candidate should be local and ready to work on onsite 5 days a week at Client HQ in Woodlawn, MD.<\/b><\/span><\/span><\/span>\n
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  • Candidate must be able to obtain and maintain a public trust clearance<\/b>\n
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  • <\/b><\/span><\/span> <\/b><\/span><\/span><\/span>Interviews will be scheduled quickly for early next week. There will only be one round of interview<\/b><\/span><\/span><\/span>\n
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    Position Description:<\/b><\/span><\/span><\/u>\n
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    • Hands on experience in Python, NLP frameworks, SQL, Pandas, NLTK, SPACy and LLMs\n
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    • Well versed in SQL and analyzing trends and transactional data.\n
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    • Understand real world challenges and develop automated data solutions\n
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    • Develop, test, and deploy new techniques for NLP understanding\n
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    • Scalable development\/deployment of ML and Generative AI approaches (such as Large Language Models (LLMs)\n
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    • Train and optimize NLP\/LLM models and create Python based pipelines\n
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    • Experience building cloud native solutions on AWS\n
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    • Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution.\n
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    • Advise on the methods and data needed and\/or available to evaluate the (intelligence or data) problem.\n
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    • Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems.\n
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    • Provide accurate, timely, complex, and sophisticated data analysis.\n
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      Key Required Skills:<\/b><\/span><\/span><\/u>\n
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      • Solid Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.\n
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      • Experience with Generative AI and Large Language Models (LLM)\n
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      • Excellent Communication skills.\n
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        \n \n Requirements<\/h3>\n
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        Skills Requirements:<\/b><\/span><\/span><\/span>\n
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        Basic Qualification:<\/b><\/span><\/span><\/span><\/u>\n
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        • Master's and 10+ years of experience, Bachelor's and 12+ years of experience or 18+ years in lieu of a degree<\/span><\/span><\/span>\n
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        • Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with industry experience on Python, NLP frameworks, SQL, Pandas, NLTK and SPACy, data science, and AI\/ML\/LLM engineering.<\/span><\/span><\/span>\n
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        • Overall 10+ years' experience in IT industry<\/span><\/span><\/span>\n
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          Required Skills:<\/b><\/span><\/span><\/span><\/u>\n
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          • Solid Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.<\/span><\/span><\/span>\n
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          • Experience with Generative AI and Large Language Models (LLM)<\/span><\/span><\/span>\n
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          • Evidence of true self\-starter and operating independently.<\/span><\/span><\/span>\n
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          • Fluency in Python Programming, version control and collaboration with GIT, standard Python packages (ex. Pandas, numpy, matplotlib) and ML frameworks<\/span><\/span><\/span>\n
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          • Knowledge of TensorFlow, PyTorch, Pandas, scikit\-learn, NLTK, Azure ML (optional), Amazon Web Services EC2.<\/span><\/span><\/span>\n
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          • Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks such as Airflow, and\/or experience with semantic search.<\/span><\/span><\/span>\n
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          • Expert knowledge in conducting data analysis and applying advanced statistical concepts and ML methods to build, train, test, and evaluate a variety of supervised and unsupervised analytic models.<\/span><\/span><\/span>\n
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          • Experience with ML model deployment and operations like DevOps, MLOps, LLMOps.<\/span><\/span><\/span>\n
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          • Experience with NLP and Generative AI libraries like regular expressions (e.g., spacy, langchain), text annotation tools and semantic frameworks.<\/span><\/span><\/span>\n
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          • Ability to clean and process large amounts of real\-world data.<\/span><\/span><\/span>\n
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          • Experience retrieving and manipulating data from a variety of data sources included DB2, Oracle, SQL Server, Hadoop and flat files.<\/span><\/span><\/span>\n
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          • Excellent Communication skills.<\/span><\/span><\/span>\n
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          • Experience with database management systems (e.g., PostgresSQL, MySQL, SQLite, SQL, etc.)<\/span><\/span><\/span>\n
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          • Excellent analytical skills to identify potential risks and propose effective solutions.<\/span><\/span><\/span>\n
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          • Excellent problem\-solving skills, ability to collaborate with cross\-functional teams and proven communication in written and verbal formats to various audiences to include executive leadership.<\/span><\/span><\/span>\n
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            Desired Skills:<\/b><\/span><\/span><\/span><\/u>\n
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            • Prior experience with federal or state governments IT projects.<\/span><\/span><\/span>\n
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            • Industry experience preferred<\/span><\/span><\/span>\n
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            • Experience with, or the ability and willingness to learn distributed processing via the Hadoop ecosystem, i.e., Spark, Impala and Hive.<\/span><\/span><\/span>\n
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            • Experience working in an analytical research environment.<\/span><\/span><\/span>\n
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            • Experience in parallel processing such as GPU programming with CUDA<\/span><\/span><\/span>\n
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            • Experience with Mathematica<\/span><\/span><\/span>\n
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            • Experience using markup languages such as LaTeX, HTML, etc.<\/span><\/span><\/span>\n
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            • Experience with Natural Language Processing for anomaly detection<\/span><\/span><\/span>.\n
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