Tata 1mg

AI / Machine Learning Intern

InternshipWork from HomeLudhiana, Punjab6 months25K/mo4 openingsImmediate / Rolling

About this internship

Start your career in applied AI and machine learning with Tata 1mg as an AI / Machine Learning Intern in Ludhiana. 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 an AI / Machine Learning Intern at Tata 1mg…

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Skills you'll use

PythonMachine LearningDeep LearningPyTorch / TensorFlowScikit-learnPandasFeature EngineeringModel EvaluationSQLMLOps Basics

What you'll do

Work on training, evaluating and deploying models alongside the core team
Apply Python, Machine Learning, Deep Learning, PyTorch / TensorFlow 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/M.Tech/MCA/M.Sc (CS, Statistics, Maths) — 2026 freshers & final-year students welcome
Working knowledge of Python, Machine Learning, Deep Learning (or a genuine willingness to learn them)
Strong fundamentals in your discipline and clear problem-solving ability
Care with detail and the discipline to document your work
Clear written and verbal communication in English
Based in or willing to work from Ludhiana, Punjab

Perks & benefits

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

Interview & selection process

2 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Team-fit / behavioural interview with the team

About Tata 1mg

Tata 1mg operates in the healthtech sector and has an active presence in Ludhiana. 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…

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