Machine Learning work from home job/internship at IIT Bombay
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Actively hiring

Machine Learning

Start Date
Starts immediatelyImmediately
6 Months
2,000-4,000 /month
Apply By
6 Dec' 22
Posted 3 weeks ago
About IIT Bombay
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.
Activity on Internshala
Hiring since November 2018
96 opportunities posted
70 candidates hired
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 (hands on experience with cloud deployment, DevOps, CI/CD, Docker, Scalable and Robust API development)
9. Working on real-world problems and working with IIT Bombay master's and Ph.D. students
Skill(s) required
Amazon Web Services (AWS) Cloud Computing Computer Vision Deep Learning DevOps Distributed Computing Docker Flask Google Cloud Computing Machine Learning Mathematics Natural Language Processing (NLP) REST API
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 14th Nov'22 and 19th Dec'22

3. are available for duration of 6 months

4. have relevant skills and interests

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

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