Machine Learning and Data Science Internship

Location(s): Bangalore
Category: IT & Computers
Applications Start Date: 02 Aug. 2018
Degrees: B.E. / B.Tech, M.Tech
Stipend: 15K - 25K
Duration: 180 days
Last Date To Apply: 31 Aug. 2018
Mode of Interview: Face-to-Face
Available Slots: 2

Intern Responsibilities

At Neva Innovation Labs Private Limited (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 a group or individually):

1. Work on the concepts of artificial intelligence, machine learning, neural networks, data science, applied mathematics and computer vision
2. Work on frameworks like Tensorflow or Pytorch
3. Work on programming on Python, and R

Perks and Benefits

Experience Letter

Recommendation Letter

Informal Dress Code

Snacks and Beverages

Flexible Work Hours

Pre Placement Offer

5 Days a Week

Internship Certificate

Program Outcomes

Additional Instructions

1. Selected candidates for Machine Learning and Data Science at Neva Innovation Labs Private Limited will require to bring supporting documentation which includes all the mark sheets, updated resume, certificates, recommendations letter (if any), etc.
2. Candidates currently pursuing their graduation or recent graduates can apply to this internship.

About Company

Neva Innovation Labs Private Limited identifies promising companies operating in growth sectors and provides cross-domain expertise and execution support to create market leaders. Neva invests and partners with technology companies, bringing deep domain across various verticals. They work closely with these companies as advisors, operators, and value creators to bring technology disruption. They focus on mobile, consumer internet, media, e-commerce, security, avionics, and nanotechnology.

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