ToneTag

Machine Learning Intern at ToneTag

InternshipHybridBengaluru6 months12K/mo3 openingsWithin 30 days

About this internship

ToneTag is hiring a Machine Learning Intern in Bengaluru for a 6-month, fully mentored internship. This is real, reviewed work on live projects — not a training sandbox or a certificate mill. About the internship You will join the ML engineering team and work alongside people who do this…

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Skills you'll use

PythonMachine LearningScikit-learnPandasStatisticsFeature EngineeringModel EvaluationSQLNumPyGit

What you'll do

Build and validate ML models on real datasets.
Engineer features and handle imbalanced data.
Evaluate models and guard against overfitting.
Support deployment of models into services.
Document your work so the next person can pick it up

Who can apply

Education: pursuing or completed B.E./B.Tech/BCA/MCA/B.Sc in CS, IT or a related discipline
Graduation year: 2025, 2026 or 2027 batch
Minimum 60% / 6.0 CGPA (relaxable for candidates with strong practical projects)
Technical skills: working knowledge of Python, Machine Learning, Scikit-learn, Pandas
Soft skills: clear written communication, ownership, willingness to document work
Experience: none required — freshers welcome; prior projects or certifications are a plus

Perks & benefits

Certificate of CompletionLetter of RecommendationPre-Placement Offer (PPO) OpportunityFlexible Working HoursMentorship from Industry ExpertsFree Learning Resources & Certification SupportReal Project & Portfolio ExposureNetworking with Professionals

Interview & selection process

1The selection process for the Machine Learning Intern role at ToneTag is merit-based and typically runs over 4 stages: Round 1: Application & Resume Screening — apply through this page; profiles are shortlisted on fundamentals, projects and role fit. Round 2: Online Assessment — aptitude plus role-specific questions covering Python, Machine Learning, Scikit-learn. Round 3: Technical / Functional Interview — a discussion of your projects and practical scenarios covering Python, Machine Learning, Scikit-learn, Pandas, Statistics. Expect "how would you approach this?" rather than definitions. Round 4: HR Discussion — role expectations, stipend, start date, location and offer. Shortlisted candidates are contacted after applying. There are no charges at any stage of the process — ToneTag never asks candidates for money.

About ToneTag

About ToneTag ToneTag is an Indian financial-services company operating in the sound-based payments space, with its team based in Bengaluru. It serves customers in India's regulated financial sector, where compliance, data security and operational reliability shape day-to-day engineering and…

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