Location
Mumbai, Maharashtra
Work Mode
Hybrid
Duration
4 months
Stipend
₹29,000/mo
Start Date
Immediate / Rolling
Openings
4 positions
Type
Full-time
Category
Machine Learning
About the Internship
Kick-start your career with Providence India in Mumbai as a Machine Learning Intern. If you learn fastest by doing real work, this internship gives you real projects, real feedback and real mentorship from day one.
As a Machine Learning Intern, you will work alongside experienced professionals on…
About Providence India
Providence India offers a mentor-led Machine Learning Intern in Mumbai with real machine learning project work, a stipend of ₹29,000 / month and a Pre-Placement Offer opportunity for strong performers.
Mumbai, MaharashtraVerified employer4 openings
Apply to Providence India →Skills Required
PythonMachine LearningTensorFlowPyTorchNumPyPandasStatisticsDeep Learning
Who Can Apply
- Students in their final year or recent graduates based in or willing to work from Mumbai, who are curious, self-driven and keen to learn machine learning on real projects. Freshers welcome — a strong project portfolio matters more than prior work experience.
Perks
Letter of RecommendationMentorship from experienced professionalsReal-world project experiencePre-Placement Offer (PPO) opportunityFlexible working hoursStipend
Interview & Selection Process
3 rounds — typical selection flow for this role:
- 1Application Screening — the Providence India recruitment team reviews your resume, skills and (where relevant) projects/portfolio for fit with the Machine Learning Intern internship in Mumbai.
- 2Online Assessment — a timed test covering fundamentals, problem solving and basic Python/Machine Learning/TensorFlow questions.
- 3Technical / Functional Interview — a discussion of your skills, past work and a hands-on round relevant to Machine Learning Intern.
- 4HR Discussion — a conversation about your goals, availability, expectations and the offer with Providence India.
₹29,000/month
Stipend · 4 months
Openings4 positions
Applicants3 applied
ModeHybrid
CategoryMachine Learning
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