Location
GIFT City, Gandhinagar, Gujarat
Work Mode
In Office
Duration
2 months
Stipend
₹27,000/mo
Start Date
Immediate / Rolling
Openings
2 positions
Type
Full-time
Category
Machine Learning
About the Internship
Join E2E Networks in GIFT City, Gandhinagar as an Applied Machine Learning Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on applied machine learning work.
About the role
As an Applied Machine…
About E2E Networks
E2E Networks offers a mentor-led Applied Machine Learning Intern in GIFT City, Gandhinagar with live project work in machine learning, a stipend of ₹27,000/month and a Pre-Placement Offer opportunity for strong performers.
See all E2E Networksinternships →GIFT City, Gandhinagar, GujaratVerified employer2 openings
Apply to E2E Networks →Skills Required
PythonScikit-learnFeature EngineeringModel SelectionCross-validationPandasSQLBusiness MetricsModel EvaluationGit
Who Can Apply
- Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT) who are based in or willing to work from GIFT City, Gandhinagar. You should be keen to learn Python, Scikit-learn, Feature Engineering 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
Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorDirect access to the team that owns the data you work on
Interview & Selection Process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Technical interview on fundamentals and your projects
- 3Practical assignment or case study with a short walkthrough
- 4HR discussion — stipend, start date, expectations and offer
₹27,000/month
Stipend · 2 months
Openings2 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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