Machine Learning Intern at TranZact
About this internship
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Skills you'll use
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
Interview & selection process
- 1The selection process for the Machine Learning Intern role at TranZact 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 — TranZact never asks candidates for money.
About TranZact
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Research Intern at WNS Global ServicesReady to apply for Machine Learning Intern at TranZact?
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