Location
Guwahati, Assam
Work Mode
In Office
Duration
6 months
Stipend
₹26,000/mo
Start Date
Immediate / Rolling
Openings
8 positions
Type
Full-time
Category
Machine Learning
About the Internship
KPMG India has an open ML Optimisation & Operations Research Intern position in Guwahati for motivated freshers and final-year students. You will work on live optimisation and operations research projects and finish with something you can genuinely talk about in interviews.
About the role
As a ML…
About KPMG India
KPMG India offers a mentor-led ML Optimisation & Operations Research Intern in Guwahati with live project work in machine learning, a stipend of ₹26,000/month and a Pre-Placement Offer opportunity for strong performers.
See all KPMG Indiainternships →Guwahati, AssamVerified employer8 openings
Apply to KPMG 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 Guwahati. 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
Live project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionals
Interview & Selection Process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Team-fit / behavioural interview with the team
- 3Online aptitude / domain assessment
- 4HR discussion — stipend, start date, expectations and offer
₹26,000/month
Stipend · 6 months
Openings8 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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