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Mu Sigma

AI Product Intern

InternshipIn OfficeJammu, Jammu & Kashmir2 months23K/mo8 openingsImmediate / Rolling

About this internship

Start your career in AI product management with Mu Sigma as an AI Product Intern in Jammu. 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 Product Intern at Mu Sigma, your core focus will be deciding…

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Skills you'll use

AI Product ThinkingLLM Capabilities & LimitsUser ResearchEvaluation CriteriaSQLPrompt Engineering BasicsRoadmappingCompetitive AnalysisStakeholder CommunicationData-Informed Decisions

What you'll do

  • Work on deciding what an AI feature should do, and defining what "good enough" means alongside the core team
  • Apply AI Product Thinking, LLM Capabilities & Limits, User Research, Evaluation Criteria 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, MBA/PGDM, BCA/MCA or B.Sc (CS / Statistics)
  • 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 AI Product Thinking, LLM Capabilities & Limits, User Research (or a genuine willingness to learn them)
  • Exposure to Evaluation Criteria, SQL, Prompt Engineering Basics 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 Jammu, Jammu & Kashmir or willing to work from there for the internship period

Perks & benefits

Pre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateLetter of Recommendation

Interview & selection process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Practical assignment or case study with a short walkthrough
  3. 3Discussion with the hiring manager on the role and your fit
  4. 4HR discussion — stipend, start date, expectations and offer

About Mu Sigma

Mu Sigma operates in the analytics consulting sector and has an active presence in Jammu. 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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