NLP Data Scientist

What role you will play in team: You will contribute to the development of Natural Language Processing (NLP) models for various applications.

What you will do: You will build and improve NLP models to enhance our product offerings.

Key responsibility:

• Develop and implement NLP models for text classification, sentiment analysis, and named entity recognition.
• Work with large datasets of text data.
• Use various NLP techniques and libraries such as spaCy and NLTK.
• Evaluate model performance and identify areas for improvement.
• Collaborate with other engineers and stakeholders to integrate NLP models into product features.

Required Qualification and Skills:

• Master's degree in Computer Science, Linguistics, or a related field.
• Strong knowledge of NLP techniques and algorithms.
• Proficiency in Python and relevant NLP libraries (spaCy, NLTK).
• Experience with machine learning libraries such as scikit-learn and TensorFlow.
• Excellent communication skills.

Benefits Included:

• Competitive salary and benefits package.
• Professional development opportunities.
• A dynamic and collaborative work environment.
• Opportunities to work on cutting-edge NLP technology.

A Day in the Life: A typical day involves training NLP models, evaluating model performance, working with large datasets, and collaborating with cross-functional teams.