Location
Ghaziabad, Uttar Pradesh
Work Mode
Hybrid
Duration
3 months
Stipend
₹30,000/mo
Start Date
Immediate / Rolling
Openings
4 positions
Type
Full-time
Category
Machine Learning
About the Internship
Join Salesforce in Ghaziabad 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 Optimisation…
About Salesforce
Salesforce offers a mentor-led ML Optimisation & Operations Research Intern in Ghaziabad with live project work in machine learning, a stipend of ₹30,000/month and a Pre-Placement Offer opportunity for strong performers.
See all Salesforceinternships →Ghaziabad, Uttar PradeshVerified employer4 openings
Apply to Salesforce →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 Ghaziabad. 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
Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hours
Interview & Selection Process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Online aptitude / domain assessment
- 3Technical interview on fundamentals and your projects
- 4HR discussion — stipend, start date, expectations and offer
₹30,000/month
Stipend · 3 months
Openings4 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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