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Forus Health logo — Forus Health TensorFlow Internship in Ghaziabad, Uttar Pradesh
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TensorFlow Internship

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Location

Ghaziabad, Uttar Pradesh

Work Mode

Hybrid

Duration

2 months

Stipend

₹19,000/mo

Start Date

Immediate / Rolling

Openings

13 positions

Type

Full-time

Category

Artificial Intelligence

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About the Internship

Join Forus Health in Ghaziabad as a TensorFlow Internship. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on deep learning work. About the role As a TensorFlow Internship at Forus Health, your core focus will…

About Forus Health

Forus Health offers a mentor-led TensorFlow Internship in Ghaziabad with live project work in artificial intelligence, a stipend of ₹19,000/month and a Pre-Placement Offer opportunity for strong performers.
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Ghaziabad, Uttar PradeshVerified employer13 openings
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Skills Required

Deep LearningPyTorchTensorFlowPythonNeural NetworksModel TrainingHyperparameter TuningGPU BasicsModel EvaluationExperiment Tracking

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT) who are based in or willing to work from Ghaziabad. You should be keen to learn Deep Learning, PyTorch, TensorFlow 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 hoursDirect access to the team that owns the data you work on

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Discussion with the hiring manager on the role and your fit
  3. 3HR discussion — stipend, start date, expectations and offer
19,000/month

Stipend · 2 months

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Openings13 positions
Applicants0 applied
ModeHybrid
CategoryArtificial Intelligence
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