PyTorch Deep Learning Intern
About this internship
Similar internships hiring now
View allNot quite right? These internships in Noida, Uttar Pradesh match the same skills — apply to a few to improve your chances.
Skills you'll use
What you'll do
- Work on training neural networks in PyTorch and learning to tell a real improvement from a lucky random seed alongside the core team
- Apply PyTorch, Neural Networks, Python, NumPy 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), MCA or M.Sc (Computer Science / Statistics / Mathematics)
- 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 PyTorch, Neural Networks, Python (or a genuine willingness to learn them)
- Exposure to NumPy, Training Loops, Loss Functions 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 Noida, Uttar Pradesh or willing to work from there for the internship period
Perks & benefits
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 Paisabazaar
Searching for “Paisabazaar internships” or “internship at Paisabazaar”? You’re in the right place.
Featured Government Job — SBI Clerk 2026
India’s largest bank is hiring 9,766 Junior Associates — graduates, any discipline
State Bank of India
Junior Associate (Customer Support & Sales)
Advt. CRPD/CR/2026-27/17 · Clerical Cadre
- Vacancies
- 9,766
- Last date to apply
- 31 Aug 2026
- Starting basic
- ₹26,730
- Eligibility
- Any graduate · 20–28
7,680 regular + 2,086 backlog posts across 24 states · Prelims tentatively September 2026 · No interview — Prelims, Mains and a local-language test only · approx. ₹46,000/month gross at a metro.
View Vacancies, Syllabus & How to ApplyPreparing? 10 full-length mock tests + 7,200-question PDF — every answer explained
₹199₹999Similar Internships
Hand-picked roles that match this internship's skills
Mintstage
Recruiter InternKaar Technologies
PyTorch Deep Learning InternRallis India
PyTorch Deep Learning InternSociete Generale
PyTorch Deep Learning InternSS&C Technologies
PyTorch Deep Learning InternUltraTech Cement
PyTorch Deep Learning InternKarnataka Bank
PyTorch Deep Learning InternRBL Bank
PyTorch Deep Learning InternSponsored — Deals for Professionals
SponsoredSimilar Internships Based on Your Skills
Tata Chemicals
PyTorch Deep Learning InternSchneider Electric India
PyTorch Deep Learning InternCropin Technology
PyTorch Deep Learning InternVobiz AI
PyTorch Deep Learning InternBoston Consulting Group India
PyTorch Deep Learning InternMoveInSync
PyTorch Deep Learning InternThoughtworks India
PyTorch Deep Learning InternBain & Company
PyTorch Deep Learning InternPrescinto
PyTorch Deep Learning InternFaircent
PyTorch Deep Learning InternRecently Posted Internships in Noida, Uttar Pradesh
Fresh internships posted in Noida, Uttar Pradesh — apply early
Upstox
Cyber Security InternBaazi Games
HR & Recruitment InternSquadStack
HR & Recruitment InternOYO Rooms
GraphQL API Developer InternMyOperator
Technology Consulting InternOla Cabs
Generative AI & LLM InternRaphe mPhibr
Design Verification InternServion Global
Customer Success InternAikyam Fellows
TypeScript & Node.js InternReady to apply for PyTorch Deep Learning Intern?
Free to apply · takes under 2 minutes · Paisabazaar reviews on a rolling basis.
Apply Now



