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Exotel logo — Exotel Machine Learning Research Intern in Navi Mumbai, Maharashtra
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Machine Learning Research Intern

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Location

Navi Mumbai, Maharashtra

Work Mode

Hybrid

Duration

4 months

Stipend

₹24,000/mo

Start Date

Immediate / Rolling

Openings

12 positions

Type

Full-time

Category

Machine Learning

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About the Internship

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

About Exotel

Exotel offers a mentor-led Machine Learning Research Intern in Navi Mumbai with live project work in machine learning, a stipend of ₹24,000/month and a Pre-Placement Offer opportunity for strong performers.
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Navi Mumbai, MaharashtraVerified employer12 openings
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Skills Required

PythonPyTorchResearch MethodologyMathematics for MLExperiment DesignStatistical TestingLiterature ReviewJupyterAcademic WritingGit

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 Navi Mumbai. You should be keen to learn Python, PyTorch, Research Methodology 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

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
  3. 3Technical interview on fundamentals and your projects
  4. 4HR discussion — stipend, start date, expectations and offer
24,000/month

Stipend · 4 months

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Openings12 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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