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Artificial Neural Networks work from home job/internship at Enalo Technologies Private Limited
Applications are closed for this internship. Click here to browse more internships.
Artificial Neural Networks
Start Date
Starts immediatelyImmediately
Duration
3 Months
Stipend
Unpaid
Apply By
30 Jun' 21
Internship
Internship
About Enalo Technologies Private Limited
Enalo Technologies Private Limited offers digital banking service for startups and small and medium enterprises that offer digital bank accounts which includes a current account packed with tools for bookkeeping, invoices, moving money, and accessing credit.
About the work from home job/internship
Selected intern's day-to-day responsibilities include:

1. Working on deep learning, transformer, language models like BERT, Elmo, GPT
2. Working on ML/DL frameworks and NLP including spaCy, BERT, Elmo, and NLTK
3. Extending ML libraries and frameworks to apply in NLP tasks
4. Conducting research and implement research paper for NLP tasks
5. Running tests, performing statistical analysis, interpreting test results, and improve model
Skill(s) required
Python Data Science Natural Language Processing (NLP) Deep Learning Artifical Intelligence
Who can apply

Only those candidates can apply who:

1. are available for the work from home job/internship

2. can start the work from home job/internship between 16th Jun'21 and 21st Jul'21

3. are available for duration of 3 months

4. have relevant skills and interests

* Women wanting to start/restart their career can also apply.

Other requirements

1. Must have an understanding of RNN, Transfer Learning, NLP techniques for text representation, semantic extraction techniques, data structures, and modeling

2. Must have a deep understanding of text representation techniques (such as n-grams, a bag of words, word sense disambiguation, sentiment analysis, etc), statistics and classification algorithms

3. Must have strong communication skills and an analytical mind with problem-solving abilities

Perks
Certificate Letter of recommendation Flexible work hours
Number of openings
7

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