
Tredence
Deep Learning Intern
InternshipHybridGurugram, Haryana5 months17K/mo3 openingsImmediate / Rolling
About this internship
Kick-start your career with Tredence as a Deep Learning Intern in Gurugram. If you learn fastest by doing, this internship gives you real responsibility, real mentorship and real machine learning projects from day one.
As a Deep Learning Intern, you will work closely with experienced professionals…
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 Gurugram
- A portfolio, project or coursework you can show (a plus, not mandatory)
Perks & benefits
Pre-Placement Offer (PPO) opportunityFlexible working hoursInternship CertificateLetter of RecommendationMentorship from experienced professionals
Interview & selection process
3 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Discussion with the hiring manager
- 3HR discussion — stipend, start date, expectations and offer
About Tredence
Tredence operates in the analytics & ai space and actively invests in early-career talent across Gurugram. 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…
Visit Tredence’s official website ↗Searching for “Tredence internships” or “internship at Tredence”? You’re in the right place.
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