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Contentstack VerifiedActively Hiring

Machine Learning Engineer

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Location

Warangal, Telangana

Work Mode

Hybrid

Duration

0 months

Stipend

₹60,000/mo

Start Date

Immediate / as per notice period

Openings

5 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹60,000/moApply on Company Website ↗

About the Internship

Contentstack is hiring a Machine Learning Engineer in Warangal. This is a full-time, permanent role with real ownership from the first quarter — you will be given work that ships, reviewed by people who know the craft, and the context to understand why it matters. About the role As a Machine…

About Contentstack

Contentstack is hiring a Machine Learning Engineer in Warangal — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 4.8 LPA–9.5 LPA and 5 openings.
Warangal, TelanganaVerified 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 Warangal 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

Fixed monthly salary, paid on timeStructured 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 reviewers

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Team fit conversation with two or three future colleagues
  3. 3HR discussion — compensation, notice period, joining date and offer roll-out
60,000/month

Stipend · 0 months

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Openings5 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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