Location
GIFT City, Gandhinagar, Gujarat
Work Mode
In Office
Duration
6 months
Stipend
₹27,000/mo
Start Date
Immediate / Rolling
Openings
9 positions
Type
Full-time
Category
Machine Learning
About the Internship
Join Emergent in GIFT City, Gandhinagar as a TensorFlow Developer Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on deep learning with TensorFlow and Keras work.
About the role
As a TensorFlow…
About Emergent
Emergent offers a mentor-led TensorFlow Developer 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 Emergentinternships →GIFT City, Gandhinagar, GujaratVerified employer9 openings
Apply to Emergent →Skills Required
TensorFlowKerasPythonModel TrainingData Pipelines (tf.data)Model Export (SavedModel)Evaluation MetricsNumPyHyperparameter TuningGit
Who Can Apply
- Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), MCA or M.Sc (Computer Science / Statistics) who are based in or willing to work from GIFT City, Gandhinagar. You should be keen to learn TensorFlow, Keras, 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
Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorBroad ownership and direct exposure to founders and senior decision-makers
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 · 6 months
Openings9 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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