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Morgan Stanley

Deep Learning Intern

InternshipHybridHyderabad, Telangana5 months27K/mo3 openingsImmediate / Rolling

About this internship

Morgan Stanley has an open Deep Learning Intern position in Hyderabad for motivated freshers and final-year students. You will join a supportive team, take ownership of meaningful machine learning tasks, and grow the practical skills employers actually look for. As a Deep Learning Intern, you will…

Skills you'll use

PythonTensorFlowPyTorchNeural NetworksCNNDeep Learning

What you'll do

  • designing and training neural networks
  • preprocessing image / text / signal data
  • tuning hyperparameters and architectures
  • evaluating and visualising model results
  • Collaborate with the team and document your work
  • Take ownership of assigned tasks and act on feedback

Who can apply

  • Pursuing or recently completed a relevant degree (stream depends on the role) — 2026 freshers & final-year students welcome
  • Foundational knowledge of Python, TensorFlow, PyTorch (or a strong willingness to learn them)
  • Good communication, problem-solving and a genuine eagerness to learn
  • Based in or willing to work from Hyderabad
  • A portfolio, project or coursework you can show (a plus, not mandatory)

Perks & benefits

Letter of RecommendationMentorship from experienced professionalsReal-world project experienceHands-on with industry toolsPre-Placement Offer (PPO) opportunity

Interview & selection process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical / functional interview on core fundamentals
  3. 3Case study or take-home assignment with a short presentation
  4. 4HR discussion — stipend, start date, expectations and offer

About Morgan Stanley

Morgan Stanley operates in the fintech space and actively invests in early-career talent across Hyderabad. Its culture is practical and learning-oriented: mentorship, honest feedback and real project work are part of everyday life, and interns are treated as genuine members of the team. Working…
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