Location
Bengaluru, Karnataka
Work Mode
In Office
Duration
2 months
Stipend
₹33,000/mo
Start Date
Immediate / Rolling
Openings
3 positions
Type
Full-time
Category
Machine Learning
About the Internship
Join MG Motor India in Bengaluru as a ML Optimisation & Operations Research Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on optimisation and operations research work.
About the role
As a ML…
About MG Motor India
MG Motor India offers a mentor-led ML Optimisation & Operations Research Intern in Bengaluru with live project work in machine learning, a stipend of ₹33,000/month and a Pre-Placement Offer opportunity for strong performers.
See all MG Motor Indiainternships →Bengaluru, KarnatakaVerified employer3 openings
Apply to MG Motor India →Skills Required
Operations ResearchLinear & Integer ProgrammingPythonOR-Tools / PuLPHeuristics & MetaheuristicsConstraint ModellingSimulationData AnalysisCost ModellingScenario Testing
Who Can Apply
- Final-year students and recent graduates from B.E./B.Tech (Industrial / Mechanical / CSE), M.Tech, M.Sc (Mathematics / Statistics) or MBA (Operations) who are based in or willing to work from Bengaluru. You should be keen to learn Operations Research, Linear & Integer Programming, Python on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.
Perks
Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor
Interview & Selection Process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Practical assignment or case study with a short walkthrough
- 3Discussion with the hiring manager on the role and your fit
- 4HR discussion — stipend, start date, expectations and offer
₹33,000/month
Stipend · 2 months
Openings3 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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