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Groww logo — Groww Machine Learning Engineer in Coimbatore, Tamil Nadu
Groww VerifiedActively Hiring

Machine Learning Engineer

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Location

Coimbatore, Tamil Nadu

Work Mode

Hybrid

Duration

0 months

Stipend

₹64,000/mo

Start Date

Immediate / as per notice period

Openings

5 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹64,000/moApply on Company Website ↗

About the Internship

Groww has an opening for a Machine Learning Engineer in Coimbatore. If you would rather learn by owning something small and real than by watching from the sidelines, this full-time applied machine learning role is built that way. About the role The Machine Learning Engineer role at Groww centres…

About Groww

Groww is hiring a Machine Learning Engineer in Coimbatore — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 5.1 LPA–10.3 LPA and 5 openings.
Coimbatore, Tamil NaduVerified employer5 openings
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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 Coimbatore 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

Structured onboarding with a named mentor for the first 90 daysHealth 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 surprise

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Short introductory call with the recruiter about your background and interest
  3. 3Technical or practical round based on the day-to-day work of the role
  4. 4HR discussion — compensation, notice period, joining date and offer roll-out
64,000/month

Stipend · 0 months

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Openings5 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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