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ML Optimisation & Operations Research Intern

InternshipIn OfficeHyderabad, Telangana3 months34K/mo13 openingsImmediate / Rolling

About this internship

Start your career in optimisation and operations research with Browser Use as a ML Optimisation & Operations Research Intern in Hyderabad. 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 ML Optimisation &…

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Skills you'll use

Operations ResearchLinear & Integer ProgrammingPythonOR-Tools / PuLPHeuristics & MetaheuristicsConstraint ModellingSimulationData AnalysisCost ModellingScenario Testing

What you'll do

  • Work on solving routing, scheduling and allocation problems where a better answer saves real money alongside the core team
  • Apply Operations Research, Linear & Integer Programming, Python, OR-Tools / PuLP 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 (Industrial / Mechanical / CSE), M.Tech, M.Sc (Mathematics / Statistics) or MBA (Operations)
  • Graduating batch 2025, 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 Operations Research, Linear & Integer Programming, Python (or a genuine willingness to learn them)
  • Exposure to OR-Tools / PuLP, Heuristics & Metaheuristics, Constraint Modelling 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 Hyderabad, Telangana 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

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
  3. 3Practical assignment or case study with a short walkthrough
  4. 4HR discussion — stipend, start date, expectations and offer

About Browser Use

Browser Use operates in the web ai agents sector and has an active presence in Hyderabad. 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…
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