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Mu Sigma

AI/ML Engineering Intern

InternshipHybridKolkata, West Bengal2 months34K/mo4 openingsImmediate / Rolling
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About this internship

Join Mu Sigma in Kolkata as a AI/ML Engineering Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on AI engineering work. About the role As a AI/ML Engineering Intern at Mu Sigma, your core focus will be…

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Skills you'll use

PythonFastAPIREST APIsLLM IntegrationDockerModel DeploymentCloud PlatformsGitPrompt EngineeringTesting

What you'll do

  • Work on wiring models into user-facing features, APIs and pipelines alongside the core team
  • Apply Python, FastAPI, REST APIs, LLM Integration 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/BCA/MCA/M.Sc (CS, AI) — 2026 freshers & final-year students welcome
  • Working knowledge of Python, FastAPI, REST APIs (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 Kolkata, West Bengal

Perks & benefits

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor

Interview & selection process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects

About Mu Sigma

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