Pocket FM

Deep Learning Intern

InternshipWork from HomeHapur, Uttar Pradesh2 months18K/mo15 openingsImmediate / Rolling

About this internship

Pocket FM has an open Deep Learning Intern position in Hapur for motivated freshers and final-year students. You will work on live deep learning projects and finish with something you can genuinely talk about in interviews. About the role As a Deep Learning Intern at Pocket FM, your core focus…

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Skills you'll use

PythonPyTorchTensorFlowNeural NetworksCNNs & RNNsBackpropagationGPU TrainingRegularisationModel EvaluationGit

What you'll do

Work on building and training neural networks, and learning what the loss curve is actually telling you alongside the core team
Apply Python, PyTorch, TensorFlow, Neural Networks to live, production-facing problems
Document your work clearly for reviewers and stakeholders
Participate in reviews and act on the feedback you receive
Collaborate across engineering, product, design or business as required
Follow the team's quality, testing and documentation standards

Who can apply

Pursuing or recently completed B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT)
Graduating batch 2025, 2026 or 2027 — final-year students and recent graduates welcome
60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
Working knowledge of Python, PyTorch, TensorFlow (or a genuine willingness to learn them)
Exposure to Neural Networks, CNNs & RNNs, Backpropagation is an advantage
Clear written and verbal communication in English, and care with detail in your work
No prior work experience required — this is a fresher-friendly internship
Based in Hapur, Uttar Pradesh or willing to work from there for the internship period

Perks & benefits

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceDirect access to the team that owns the data you work on

Interview & selection process

4 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Technical interview on fundamentals and your projects
3Practical assignment or case study with a short walkthrough
4HR discussion — stipend, start date, expectations and offer

About Pocket FM

Pocket FM operates in the audio & content tech sector and has an active presence in Hapur. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a distance. The…

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