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Job Description
What role you will play in team: Develop and improve NLP models for various applications.
What you will do: Work on tasks involving text preprocessing, feature engineering, and model training.
Key responsibility:
- Develop and improve natural language processing (NLP) models.
- Preprocess and clean text data.
- Engineer features for NLP models.
- Train and evaluate NLP models.
- Deploy NLP models into production.
Required Qualification and Skills:
- Master's degree in Computer Science, Linguistics, or a related field.
- 2+ years experience in NLP.
- Proficiency in Python.
- Experience with NLP libraries (spaCy, NLTK, Transformers).
- Good understanding of NLP techniques (e.g., tokenization, stemming, lemmatization).
Benefits Included:
- Competitive salary and benefits package.
- Opportunities for professional development.
- Work on challenging and impactful projects.
- Health insurance, Paid Time Off etc.
A Day in the Life:A typical day involves data preprocessing, model training, evaluation, and collaboration with team members.
Skills
PythonNLPSpaCyNLTKTransformersMachine LearningDeep 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
The Dental Admission Test (DAT) is a standardized examination required for admission into dental schools in the United States and Canada. Administered by the American Dental Association (ADA), the DAT assesses a candidate's general academic ability, understanding of scientific information, and perceptual ability. The exam consists of four sections: Survey of Natural Sciences, Perceptual Ability, Reading Comprehension, and Quantitative Reasoning. Scoring well on the DAT is crucial as it plays a significant role in the dental school admission process. Candidates typically prepare extensively, utilizing various resources, to excel in this challenging exam.
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