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Urban Company logo — Urban Company Deep Learning Intern in Surat, Gujarat
Urban Company VerifiedActively Hiring

Deep Learning Intern

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Location

Surat, Gujarat

Work Mode

In Office

Duration

4 months

Stipend

₹20,000/mo

Start Date

Immediate / Rolling

Openings

10 positions

Type

Full-time

Category

Machine Learning

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

About the Internship

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

About Urban Company

Urban Company offers a mentor-led Deep Learning Intern in Surat with live project work in machine learning, a stipend of ₹20,000/month and a Pre-Placement Offer opportunity for strong performers.
Surat, GujaratVerified employer10 openings
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Skills Required

Deep LearningPyTorchNeural Network ArchitecturesPythonGPU TrainingBackpropagation & OptimisersRegularisationTransfer LearningExperiment TrackingError Analysis

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/ECE/AI-ML), M.Tech, MCA or M.Sc (CS / Mathematics) who are based in or willing to work from Surat. You should be keen to learn Deep Learning, PyTorch, Neural Network Architectures 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 experience

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

Apply Now →
Openings10 positions
Applicants1 applied
ModeIn Office
CategoryMachine Learning
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