Location
Gwalior, Madhya Pradesh
Work Mode
Hybrid
Duration
3 months
Stipend
₹28,000/mo
Start Date
Immediate / Rolling
Openings
13 positions
Type
Full-time
Category
Machine Learning
About the Internship
Join Nuvama Wealth Management in Gwalior as a Deep Learning Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on deep learning and neural networks work.
About the role
As a Deep Learning Intern at Nuvama…
About Nuvama Wealth Management
Nuvama Wealth Management offers a mentor-led Deep Learning Intern in Gwalior with live project work in machine learning, a stipend of ₹28,000/month and a Pre-Placement Offer opportunity for strong performers.
See all Nuvama Wealth Managementinternships →Gwalior, Madhya PradeshVerified employer13 openings
Apply to Nuvama Wealth Management →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 Gwalior. 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
Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hours
Interview & Selection Process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Online aptitude / domain assessment
- 3Technical interview on fundamentals and your projects
- 4HR discussion — stipend, start date, expectations and offer
₹28,000/month
Stipend · 3 months
Openings13 positions
Applicants1 applied
ModeHybrid
CategoryMachine Learning
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