Location
Ahmedabad, Gujarat
Work Mode
In Office
Duration
2 months
Stipend
₹25,000/mo
Start Date
Immediate / Rolling
Openings
15 positions
Type
Full-time
Category
Machine Learning
About the Internship
Start your career in classical machine learning with Salesforce as a Scikit-learn Modelling Intern in Ahmedabad. 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 a Scikit-learn Modelling Intern at Salesforce…
About Salesforce
Salesforce offers a mentor-led Scikit-learn Modelling Intern in Ahmedabad with live project work in machine learning, a stipend of ₹25,000/month and a Pre-Placement Offer opportunity for strong performers.
See all Salesforceinternships →Ahmedabad, GujaratVerified employer15 openings
Apply to Salesforce →Skills Required
Scikit-learnPythonPandasRegression & ClassificationCross-ValidationHyperparameter TuningFeature SelectionModel MetricsStatisticsMatplotlib
Who Can Apply
- Final-year students and recent graduates from B.E./B.Tech (any branch), BCA/MCA or B.Sc/M.Sc (Statistics / Mathematics / Computer Science) who are based in or willing to work from Ahmedabad. You should be keen to learn Scikit-learn, Python, Pandas 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
Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityStructured onboarding and a formal mentor at a large, established employer
Interview & Selection Process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Discussion with the hiring manager on the role and your fit
- 3Team-fit / behavioural interview with the team
- 4HR discussion — stipend, start date, expectations and offer
₹25,000/month
Stipend · 2 months
Openings15 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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