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CaratLane logo — CaratLane Deep Learning Intern in Navi Mumbai, Maharashtra
CaratLane VerifiedActively Hiring

Deep Learning Intern

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Location

Navi Mumbai, Maharashtra

Work Mode

Hybrid

Duration

3 months

Stipend

₹23,000/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

Machine Learning

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About the Internship

CaratLane is hiring a Deep Learning Intern in Navi Mumbai — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to deep learning and neural networks rather than a certificate-only programme. About the role As a Deep Learning Intern at CaratLane, your core…

About CaratLane

CaratLane offers a mentor-led Deep Learning Intern in Navi Mumbai with live project work in machine learning, a stipend of ₹23,000/month and a Pre-Placement Offer opportunity for strong performers.
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Navi Mumbai, MaharashtraVerified employer2 openings
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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 Navi Mumbai. 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

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

Interview & Selection Process

4 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. 3Online aptitude / domain assessment
  4. 4HR discussion — stipend, start date, expectations and offer
23,000/month

Stipend · 3 months

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Openings2 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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