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BharatPe logo — BharatPe Machine Learning Engineer in Aurangabad, Maharashtra
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Machine Learning Engineer

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Location

Aurangabad, Maharashtra

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

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About the Internship

Start your career in applied machine learning at BharatPe as a Machine Learning Engineer in Aurangabad. This is a full-time position with a structured first ninety days, a named mentor, and genuine responsibility once you are through it. About the role This Machine Learning Engineer position is…

About BharatPe

BharatPe is hiring a Machine Learning Engineer in Aurangabad — 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.
Aurangabad, MaharashtraVerified 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 Aurangabad 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

Internal knowledge sessions and access to senior reviewersClear, written progression criteria rather than an annual surpriseEmployee referral and performance bonus schemesTeam offsites and regular in-person timeSupport for internal mobility across teamsFixed monthly salary, paid on timeStructured onboarding with a named mentor for the first 90 daysHealth insurance cover for you (and family cover on confirmation)

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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