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True Balance logo — True Balance Machine Learning Intern in Navi Mumbai, Maharashtra
True Balance VerifiedActively Hiring

Machine Learning Intern

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Location

Navi Mumbai, Maharashtra

Work Mode

Hybrid

Duration

4 months

Stipend

₹18,000/mo

Start Date

Immediate / Rolling

Openings

4 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹18,000/moApply on Company Website ↗

About the Internship

Join True Balance in Navi Mumbai 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 machine learning work. About the role As a Machine Learning Intern at True Balance, your core…

About True Balance

True Balance offers a mentor-led Machine Learning Intern in Navi Mumbai with live project work in machine learning, a stipend of ₹18,000/month and a Pre-Placement Offer opportunity for strong performers.
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Navi Mumbai, MaharashtraVerified employer4 openings
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Skills Required

PythonScikit-learnPandas & NumPyFeature EngineeringModel EvaluationSupervised LearningStatisticsMatplotlibJupyterGit

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, Scikit-learn, Pandas & NumPy 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 mentorBroad ownership and direct exposure to founders and senior decision-makers

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
18,000/month

Stipend · 4 months

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Openings4 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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