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Machine Learning And Cloud Computing work from home job/internship at IIT Bombay
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Machine Learning And Cloud Computing
IIT Bombay
Start Date
Starts immediatelyImmediately
Duration
6 Months
Stipend
2000-4000 /month
Apply By
14 Jan' 21
Internship
Internship
302 applicants
About IIT Bombay
Website
The Indian Institute of Technology, Bombay (IITB) is one of the fifteen higher institutes of technology in the country set up with the objective of making facilities available for higher education, research, and training in various fields of science and technology. With the same mission and vision, Prof. Ganesh Ramakrishnan is gearing to take rural India a leap ahead. For his outstanding contributions, he has also been awarded the IBM Faculty Award 2011.
About the work from home job/internship
Selected intern's day-to-day responsibilities include:

1. Conducting research by implementing machine learning/deep learning models
2. Handling management of dataset, training, testing, and analysis of models
3. Reading and writing research papers
4. Performing various experiments and analysis
5. Writing technical reports
6. Prototyping solutions
7. Building systems around the deep learning models
8. Building cloud infrastructures for the deep learning-based systems
9. Working on real-world problems and working with IIT Bombay master's and Ph.D. students
Skill(s) required
Cloud Computing Python Algorithms Mathematics Machine Learning DevOps Computer Vision Microsoft Azure REST API Flask Deep Learning Distributed Computing Google Cloud Computing MEAN/MERN Stack
Learn these skills on Internshala Trainings
Learn Cloud Computing
Learn Python
Learn Machine Learning
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 30th Dec'20 and 3rd Feb'21

3. are available for duration of 6 months

4. have relevant skills and interests

Perks
Certificate Letter of recommendation Flexible work hours
Additional Information

Answer the questions carefully and share the relevant details. This will increase the quality of your application and would increase your chance of clearing the initial shortlisting round. We receive a large number of applications, and hence we follow initial filtering and reject applications immediately if sufficient details are not present in the application.

Number of openings
10

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