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Job Description
What role you will play in team: Contribute to the development of natural language processing (NLP) models for our various projects.
What you will do: Work with text data to build and improve models that understand and generate human language.
Key responsibility:
- Clean, preprocess, and analyze text data.
- Develop and train NLP models using various techniques (e.g., sentiment analysis, text classification, named entity recognition).
- Evaluate model performance and iterate on improvements.
- Collaborate with team members to integrate NLP models into larger applications.
- Stay updated on the latest research and advancements in NLP.
Required Qualification and Skills:
- Bachelor's degree in Computer Science, Linguistics, or a related field.
- Basic understanding of NLP concepts and techniques.
- Proficiency in Python and experience with NLP libraries (e.g., spaCy, NLTK).
- Ability to work independently and collaboratively.
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Benefits Included:
- Competitive salary and benefits.
- Opportunities for professional growth and development.
- Collaborative and supportive work environment.
- Exposure to cutting-edge NLP technologies.
A Day in the Life: A typical day would involve data preprocessing, model training, evaluation, and collaboration with teammates.
Skills
PythonNLPSpaCyNLTKText ProcessingSentiment AnalysisText ClassificationNamed Entity RecognitionIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
As a leading cloud data analytics company based in Dallas, TX, USA, Anblicks is committed to bringing value to various industries using Cloud Data Analytics. Anblicks is a Cloud Data Analytics Company – Enabling Enterprises with Data-Driven Decision Making. Since 2004, Anblicks has been enabling customers across. Anblicks is a Cloud Data Analytics Company – Enabling Enterprises with Data-Driven Decision Making.
Important dates & deadlines?
Application Deadline
08 Jul 25, 11:10 AM IST
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