5 Internships by Top Companies with Stipend of upto Rs 50,000 to 2 lac

Here is the Complete Details of these Internships along with its apply link:-

Company (Apply Link) Role What You’ll Do Best For
Googlehttps://grow.google/intl/en_in/data-analytics-course/ SWE (Software Engineer) Build software, write code, and solve engineering problems. CSE, IT, Software Engineering students
STEP Student Training in Engineering Program designed for early-year undergraduate students. 1st & 2nd Year B.Tech
Research Work on AI, Machine Learning, distributed systems, and computer science research. CS, AI, M.Tech, PhD students
PM (Product Manager) Define product vision, work with engineers and designers, and manage product development. MBA, Engineering + Business students
Microsofthttps://apply.careers.microsoft.com/careers/job/1970393556917519?domain=microsoft.com&hl=en SWE Design, develop, and test software products and cloud services. Engineering students
Explore Internship program for early undergraduate students to gain hands-on software development experience. 1st & 2nd Year B.Tech
PM (Product Manager) Manage product strategy, user experience, and cross-functional teams. MBA, Tech students
Data Work on data analytics, business intelligence, AI models, and reporting. Data Science, Statistics, Analytics students
Deloittehttps://apply.deloitte.com/en_US/careers/SearchJobs/intern Audit Perform financial audits, compliance checks, and risk assessments. B.Com, CA, MBA Finance
Consulting Solve business and technology challenges for clients across industries. MBA, Engineering students
Morgan Stanleyhttps://morganstanley.tal.net/vx/candidate/so/pm/1/pl/1/opp/21362 Summer Analyst Work on finance, investment banking, technology, operations, or wealth management projects. MBA, Finance, Engineering students
NVIDIAhttps://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite?q=intern AI/ML Develop Artificial Intelligence and Machine Learning solutions for real-world applications. AI, Machine Learning, Data Science students
CUDA Build high-performance GPU applications using NVIDIA CUDA programming. High-Performance Computing, CSE, AI
SWE (Software Engineer) Develop software for graphics, AI, cloud computing, and autonomous systems. CSE, IT, Software Engineering students
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