Location
GIFT City, Gandhinagar, Gujarat
Work Mode
In Office
Duration
0 months
Stipend
₹64,000/mo
Start Date
Immediate / as per notice period
Openings
1 positions
Type
Full-time
Category
Machine Learning
About the Internship
Applications are open for the Machine Learning Engineer position at Qure.ai in GIFT City, Gandhinagar. You will join a working team in applied machine learning, take a defined area end to end, and see the result of your work in the hands of real users or customers.
About the role
In this role you…
About Qure.ai
Qure.ai is hiring a Machine Learning Engineer in GIFT City, Gandhinagar — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 5.1 LPA–10.2 LPA and 1 opening.
See all Qure.aiinternships →GIFT City, Gandhinagar, GujaratVerified employer1 opening
Apply to Qure.ai →Skills Required
PythonScikit-learnPyTorch or TensorFlowFeature EngineeringModel EvaluationSQLModel DeploymentExperiment TrackingStatisticsGit
Who Can Apply
- B.E./B.Tech, BCA/MCA, B.Sc/M.Sc (Statistics / Mathematics) or MBA (Analytics) graduates with 0–2 years of relevant experience, based in GIFT City, Gandhinagar or willing to relocate. You should be comfortable with Python, Scikit-learn, PyTorch or TensorFlow, Candidates from any recognised university are welcome, and career-changers with demonstrable skills are read on the same terms as fresh graduates. Freshers and final-year students awaiting results are welcome to apply — the selection process is designed to test how you think, not how much you have already memorised.
Perks
Health insurance cover for you (and family cover on confirmation)Learning and certification budgetPaid leave, casual leave and public holidaysFlexible working hours around core collaboration timeModern hardware and the tool licences your role needsInternal knowledge sessions and access to senior reviewersClear, written progression criteria rather than an annual surpriseEmployee referral and performance bonus schemes
Interview & Selection Process
5 rounds — typical selection flow for this role:
- 1Resume screening and profile shortlisting by the talent acquisition team
- 2Application screening (CV and, where relevant, a portfolio or code sample)
- 3Short introductory call with the recruiter about your background and interest
- 4Technical or practical round based on the day-to-day work of the role
- 5HR discussion — compensation, notice period, joining date and offer roll-out
₹64,000/month
Stipend · 0 months
Openings1 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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