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Job Description
What role you will play in team: You will be responsible for building and deploying Natural Language Processing (NLP) models to solve complex text-based problems.
What you will do: You will work on various NLP tasks such as text classification, sentiment analysis, and named entity recognition.
Key responsibility:
- Build and deploy NLP models for various tasks such as text classification, sentiment analysis, and named entity recognition.
- Clean and preprocess large datasets of text data.
- Experiment with different NLP techniques and algorithms.
- Evaluate the performance of NLP models and optimize their accuracy.
- Collaborate with engineers to integrate NLP models into applications.
Required Qualification and Skills:
- Master's degree in Computer Science, Linguistics, or a related field.
- 1-2 years of experience in NLP.
- Proficiency in Python and relevant NLP libraries (NLTK, spaCy, Transformers).
- Experience with deep learning frameworks (TensorFlow, PyTorch).
- Strong understanding of NLP concepts and techniques.
Benefits Included:
- Competitive salary and benefits.
- Opportunities for professional growth and development.
- Work on challenging and impactful projects.
A Day in the Life:A day might involve data preprocessing, model training, performance evaluation, and collaboration with the engineering team.
Skills
PythonNLTKSpaCyTransformersTensorFlowPyTorchNLPNatural Language ProcessingDeep LearningIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Investor and business engagement for CEO’s and Entrepreneurs looking for early stage funding. funding, artificial intelligence, python, machine learning, crowdfunding, Reg CF, Reg A, startup, small business, Capital, Equity Crowdfunding, funding solutions, Shop FUnd, Venture Capital, Investing, VC Scout, lead generation, Saas, services, and business funding
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