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Max Life Insurance

Deep Learning Intern

InternshipWork from HomeKanpur, Uttar Pradesh3 months23K/mo5 openingsImmediate / Rolling

About this internship

Start your career in deep learning and neural networks with Max Life Insurance as a Deep Learning Intern in Kanpur. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a Deep Learning Intern at Max Life…

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Skills you'll use

Deep LearningPyTorchNeural Network ArchitecturesPythonGPU TrainingBackpropagation & OptimisersRegularisationTransfer LearningExperiment TrackingError Analysis

What you'll do

  • Work on designing and training neural networks, and understanding why they fail alongside the core team
  • Apply Deep Learning, PyTorch, Neural Network Architectures, Python 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/ECE/AI-ML), M.Tech, MCA or M.Sc (CS / Mathematics)
  • Graduating batch 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 Deep Learning, PyTorch, Neural Network Architectures (or a genuine willingness to learn them)
  • Exposure to Python, GPU Training, Backpropagation & Optimisers 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 Kanpur, Uttar Pradesh or willing to work from there for the internship period

Perks & benefits

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunity

Interview & selection process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3HR discussion — stipend, start date, expectations and offer

About Max Life Insurance

Max Life Insurance operates in the life insurance sector and has an active presence in Kanpur. 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…
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