Schbang

Machine Learning Intern

InternshipWork from HomeHubballi, Karnataka6 months29K/mo14 openingsImmediate / Rolling

About this internship

Start your career in applied machine learning with Schbang as a Machine Learning Intern in Hubballi. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a Machine Learning Intern at Schbang, your core focus will…

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Skills you'll use

PythonScikit-learnPyTorch or TensorFlowPandas & NumPyFeature EngineeringModel EvaluationSQLJupyterGitModel Deployment

What you'll do

Work on taking a model from a notebook to something that serves a prediction in production without falling over alongside the core team
Apply Python, Scikit-learn, PyTorch or TensorFlow, Pandas & NumPy to live, production-facing problems
Document your work clearly for reviewers and stakeholders
Participate in reviews and act on the feedback you receive
Collaborate across engineering, product, design or business as required
Follow the team's quality, testing and documentation standards

Who can apply

Pursuing or recently completed B.E./B.Tech (any branch), B.Sc/M.Sc (Statistics, Mathematics, Economics), BCA/MCA or MBA
Graduating batch 2026 or 2027 — final-year students and recent graduates welcome
60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
Working knowledge of Python, Scikit-learn, PyTorch or TensorFlow (or a genuine willingness to learn them)
Exposure to Pandas & NumPy, Feature Engineering, Model Evaluation is an advantage
Clear written and verbal communication in English, and care with detail in your work
No prior work experience required — this is a fresher-friendly internship
Based in Hubballi, Karnataka or willing to work from there for the internship period

Perks & benefits

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunity

Interview & selection process

3 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Team-fit / behavioural interview with the team
3HR discussion — stipend, start date, expectations and offer

About Schbang

Schbang operates in the fmcg sector and has an active presence in Hubballi. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a distance. The work runs at…

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