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- 14th Nov 2019
- 121Days
- 14th Mar 2020
Internship Details
About Internship:
We are seeking a Machine Learning Intern who will be helping us design and build machine learning model to solve the business challenges we face every day in business activities. You will be working on varieties of Machine Learning and Natural Language Processing problem sets.
Roles and Responsibilities:
Selected intern's day to day responsibility includes:
1. Building Machine learning & Natural Language Processing model - NER & Classification
2. Managing dataset, training, testing, and analysis of models
3. Designing and implementing machine learning, information extraction, probabilistic matching algorithms, and models
4. Integrating ML & NLP model into an android app
5. Updating Android App with the latest features
Perks:
1. Letter of Recommendation
2. Pre Placement Offer (PPO)
3. Flexible working Hours
Application Deadline
Apply by: 30th Nov `19
About Company
KreditPaisa is a fast growing Cognitive based platform backed by YCombinator. KreditPaisa's proprietary in house platform combines Machine Learning to bring speed and efficiency to Financial Institiutions - Bank, NBFC and MicroFinance companies in decision making.
KreditPaisa Technology Pvt Ltd.
Internship Details
About Internship:
We are seeking a Machine Learning Intern who will be helping us design and build machine learning model to solve the business challenges we face every day in business activities. You will be working on varieties of Machine Learning and Natural Language Processing problem sets.
Roles and Responsibilities:
Selected intern's day to day responsibility includes:
1. Building Machine learning & Natural Language Processing model - NER & Classification
2. Managing dataset, training, testing, and analysis of models
3. Designing and implementing machine learning, information extraction, probabilistic matching algorithms, and models
4. Integrating ML & NLP model into an android app
5. Updating Android App with the latest features
Perks:
1. Letter of Recommendation
2. Pre Placement Offer (PPO)
3. Flexible working Hours
You have successfully applied !