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Mad Street Den logo — Mad Street Den Machine Learning Engineer in Dehradun, Uttarakhand
Mad Street Den VerifiedActively Hiring

Machine Learning Engineer

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Location

Dehradun, Uttarakhand

Work Mode

In Office

Duration

0 months

Stipend

₹57,000/mo

Start Date

Immediate / as per notice period

Openings

1 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Mad Street Den has an opening for a Machine Learning Engineer in Dehradun. 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 Mad…

About Mad Street Den

Mad Street Den is hiring a Machine Learning Engineer in Dehradun — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 4.5 LPA–9.1 LPA and 1 opening.
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Dehradun, UttarakhandVerified employer1 opening
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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 Dehradun 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

Flexible 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 schemesTeam offsites and regular in-person timeSupport for internal mobility across teamsFixed monthly salary, paid on time

Interview & Selection Process

5 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Application screening (CV and, where relevant, a portfolio or code sample)
  3. 3Short introductory call with the recruiter about your background and interest
  4. 4Technical or practical round based on the day-to-day work of the role
  5. 5HR discussion — compensation, notice period, joining date and offer roll-out
57,000/month

Stipend · 0 months

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Openings1 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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