Machine Learning Internship

Location(s): Bangalore
Applications Start Date: 12 March 2019
Degrees: B.E. / B.Tech
Stipend: 10K - 15K
Duration: 180 days
Last Date To Apply: 31 March 2019
Mode of Interview: Face-to-Face
Available Slots: 3

Intern Responsibilities

At MagTapp Technologies (Bangalore), Interns are expected to be professionally well-versed with basic ethics, which includes arriving on time (as specified by the company), notifying the team leader of any deviations from the established schedule, and dressing to the standards of the organization and the work being performed. Respect the organization’s reporting structure and follow the policies and procedures of the organization.

During the internship tenure, intern will be working on following verticals (in group or individually):

1. Python programming and software design including debugging & performance analysis.
2. Working with established frameworks like Tensorflow, PyTorch.
3. Architecture designing for deep learning & neural networks for the recommendation system.
4. Building AI that will recommend content based on the user's activity & interest.
5. Collecting user data for interest-based content & ad delivery.
6. Integrating Algorithms & Libraries.

Perks and Benefits

Experience Letter

Internship Certificate

Program Outcomes

Additional Instructions

1. Selected candidates for Machine Learning at MagTapp Technologies will require to bring supporting documentation which includes all the marksheets, updated resume, certificates, recommendations letter (if any), etc.
2. Candidates currently pursuing their graduation or recent graduates can apply to this internship.

About Company

It is a newly founded technology company having an office in Mumbai. They are developing some really cool products that could impact the lives of millions across the globe. They have hired over 30 employees who will start working from March 1 in Mumbai at various designations and departments. They are developing an artificial intelligence-based reading app.

Apply

The early bird gets the worm. Apply now!