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PyTorch Deep Learning Intern

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Location

Gurugram, Haryana

Work Mode

In Office

Duration

4 months

Stipend

₹20,000/mo

Start Date

Immediate / Rolling

Openings

14 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹20,000/moApply on Company Website ↗

About the Internship

SingleInterface has an open PyTorch Deep Learning Intern position in Gurugram for motivated freshers and final-year students. You will work on live deep learning with PyTorch projects and finish with something you can genuinely talk about in interviews. About the role As a PyTorch Deep Learning…

About SingleInterface

SingleInterface offers a mentor-led PyTorch Deep Learning Intern in Gurugram with live project work in machine learning, a stipend of ₹20,000/month and a Pre-Placement Offer opportunity for strong performers.
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Gurugram, HaryanaVerified employer14 openings
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Skills Required

PyTorchNeural NetworksPythonNumPyTraining LoopsLoss FunctionsGPU TrainingOverfitting ControlExperiment TrackingError Analysis

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), MCA or M.Sc (Computer Science / Statistics / Mathematics) who are based in or willing to work from Gurugram. You should be keen to learn PyTorch, Neural Networks, Python on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceBroad ownership and direct exposure to founders and senior decision-makers

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
  3. 3HR discussion — stipend, start date, expectations and offer
20,000/month

Stipend · 4 months

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Openings14 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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