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Rocketlane logo — Rocketlane Machine Learning Intern in Greater Noida, Uttar Pradesh
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Machine Learning Intern

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Location

Greater Noida, Uttar Pradesh

Work Mode

In Office

Duration

3 months

Stipend

₹17,000/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Join Rocketlane in Greater Noida as a Machine Learning Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on applied machine learning work. About the role As a Machine Learning Intern at Rocketlane, your…

About Rocketlane

Rocketlane offers a mentor-led Machine Learning Intern in Greater Noida with live project work in machine learning, a stipend of ₹17,000/month and a Pre-Placement Offer opportunity for strong performers.
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Greater Noida, Uttar PradeshVerified employer2 openings
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Skills Required

PythonScikit-learnPyTorch or TensorFlowPandas & NumPyFeature EngineeringModel EvaluationSQLJupyterGitModel Deployment

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (any branch), B.Sc/M.Sc (Statistics, Mathematics, Economics), BCA/MCA or MBA who are based in or willing to work from Greater Noida. You should be keen to learn Python, Scikit-learn, PyTorch or 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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
  3. 3Practical assignment or case study with a short walkthrough
  4. 4HR discussion — stipend, start date, expectations and offer
17,000/month

Stipend · 3 months

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Openings2 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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