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Assistant Python Nlp Jobs (NOW HIRING)

Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim ... Develop practical approaches for measuring performance. * Assist in developing types of measure ...

... experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process ... • Assist in developing types of measure, the collection of data, analyzing the data, and ...

Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim ... Develop practical approaches for measuring performance. * Assist in developing types of measure ...

... experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process ... Develop practical approaches for measuring performance. 12. Assist in developing types of measure ...

We assist in filing for STEM extension and also for H1b and Green card filing to Candidates ... NLP, Text mining, Tableau, PowerBI, Time series analysis Please understand skills and relevant ...

PA · On-site

... virtual assistants for voice and chat. * Develop and maintain Natural Language Processing (NLP ... Strong programming skills in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch)

Design, build, and deploy chatbots and virtual assistants for banking use cases. * Leverage LLMs ... Python, JavaScript, R. * Experience with NLP frameworks: spaCy, NLTK, BERT, GPT-based models.

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How much do assistant python nlp jobs pay per hour?

As of May 30, 2026, the average hourly pay for assistant python nlp in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Python Nlp jobs? The most popular types of Python Nlp jobs are:
Data Scientist

Full-time

Posted 18 days ago


Job description

BT-285 - Data Scientist
Skill Level: Expert
Location: McLean, VA (fully on-site, no remote option)
**MUST HAVE A POLY CLEARANCE TO APPLY. Those without a Poly clearance will not be considered.**
Work Requirements:
  • The Contractor shall conduct sophisticated analysis using deployed tools and natural language processing.
  • The Contractor shall analyze large amounts of raw data, including text data, to provide business insights.
  • The Contractor shall preprocess or clean structured and unstructured data, including text data.
  • The Contractor shall design and implement advanced ETL code and table configurations for complex data sets.
  • The Contractor shall use Structured Query Language (SQL) in an Oracle database to develop and organize relevant information with supporting analytics.
  • The Contractor shall independently, or with a team, author analytic publications and produce ad-hoc reports to include data visualizations using the organization's templates.
  • The Contractor shall stay current with the enterprise metadata collection tools.
  • The Contractor shall implement the existing coordination process.
  • The Contractor shall provide technical education to staff on an ad-hoc basis.
  • The Contractor shall provide subject matter expertise in NLP to support initiatives.

Required Skills:
  1. Demonstrated professional or academic experience performing NLP tasks, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance.
  2. Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents.
  3. Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras
  4. Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
  5. Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (Scikit-learn) or deep learning models.
  6. Demonstrated academic or professional experience using encoder-decoder and generative language models to perform NLP tasks.
  7. Demonstrated academic or professional experience communicating methodological choices and model results.
  8. Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
  9. Demonstrated professional or academic experience with version control systems such as Github and Jenkins.
  10. Demonstrated experience leveraging GPUs for accelerated computing.
  11. Develop practical approaches for measuring performance.
  12. Assist in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership.
  13. Conduct advanced statistical analysis on personnel, intelligence, and performance metrics.
  14. Assist in selection or development of appropriate methodology to conduct research.
  15. Analyze information and provide research findings in a manner that is easily grasped by the customer and consumers.

Desired Skills:
  1. Demonstrated experience writing Python scripts that pull data from web-based APIs and relational databases.
  2. Demonstrated experience with cloud computing development and architecture
  3. Demonstrated experience with front-end web development frameworks such as Flask.
  4. Demonstrated experience developing applications for semantic search.
  5. Demonstrated experience tuning LLMs on custom data sets and applying results to specific use cases.
  6. Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.