Selected intern's day-to-day responsibilities include:
1.Text Preprocessing: Implement and optimize text preprocessing techniques, including tokenization, stemming, and lemmatization, to enhance data quality.
2. Algorithm Implementation: Develop and implement NLP algorithms for tasks such as part-of-speech tagging, named entity recognition, sentiment analysis, and text classification.
3. Machine Learning: Collaborate on machine learning projects, apply supervised and unsupervised learning techniques to solve real-world NLP challenges.
4. Data Analysis: Analyze large datasets to extract meaningful insights and patterns using statistical and computational methods.
5. Model Evaluation: Evaluate the performance of NLP models using appropriate metrics and contribute to model refinement.
Requirements:
1. Pursuing or recently completed a degree in Computer Science, Data Science,
Computational Linguistics, or a related field.
2. Proficiency in a programming language commonly used in NLP, such as Python.
3. Familiarity with NLP libraries and frameworks, such as NLTK, SpaCy, TensorFlow,
or PyTorch.
4. Basic understanding of machine learning algorithms and statistical concepts.
5. Strong problem-solving skills and the ability to think critically about NLP
challenges.
6. Effective communication skills and the ability to work collaboratively in a team
environment.
Skill(s) required
Data ScienceDeep LearningMachine LearningNatural Language Processing (NLP)
Who can apply
Only those candidates can apply who:
1. are available for full time (in-office) internship
2. have relevant skills and interests
* Women wanting to start/restart their career can also apply.
Perks
Certificate Flexible work hours 5 days a week
Number of openings
2
Certificate: Will be provided at the end of the Internship