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BrowserStack

Machine Learning Engineer Intern

InternshipIn OfficeJalandhar, Punjab3 months16K/mo7 openingsImmediate / Rolling

About this internship

BrowserStack has an open Machine Learning Engineer Intern position in Jalandhar for motivated freshers and final-year students. You will work on live applied machine learning projects and finish with something you can genuinely talk about in interviews. About the role As a Machine Learning…

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Skills you'll use

PythonScikit-LearnTensorFlow or PyTorchFeature EngineeringModel Evaluation MetricsPandas & NumPySQLModel DeploymentCross-ValidationGit & GitHub

What you'll do

  • Work on training models on real data and getting them into production alongside the core team
  • Apply Python, Scikit-Learn, TensorFlow or PyTorch, Feature Engineering 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 (CSE/IT/ECE/AI-ML), BCA, MCA, M.Sc (CS / Statistics) or M.Tech
  • 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, TensorFlow or PyTorch (or a genuine willingness to learn them)
  • Exposure to Feature Engineering, Model Evaluation Metrics, Pandas & NumPy 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 Jalandhar, Punjab or willing to work from there for the internship period

Perks & benefits

Live project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionals

Interview & selection process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
  3. 3HR discussion — stipend, start date, expectations and offer

About BrowserStack

BrowserStack operates in the developer tools sector and has an active presence in Jalandhar. 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…
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