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Contentstack

Machine Learning Engineer

Job · Full-timeHybridWarangal, Telangana0–2 years60K/mo5 openingsImmediate / as per notice period

About this role

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…

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Skills you'll use

PythonScikit-learnPyTorch or TensorFlowFeature EngineeringModel EvaluationSQLModel DeploymentExperiment TrackingStatisticsGit

What you'll do

  • Build, train and evaluate models against a defined metric
  • Engineer features and check for leakage before trusting results
  • Deploy models and monitor them for drift
  • Run experiments and report results without overclaiming
  • Work with engineering on serving and latency
  • Flag risks and blockers early rather than at the deadline
  • Keep your tracker and status honest, including when something has slipped

Who can apply

  • B.E./B.Tech, BCA/MCA, B.Sc/M.Sc (Statistics / Mathematics) or MBA (Analytics) from a recognised university
  • 0–2 years of relevant experience — internships, academic projects and personal work all count, and 2026 graduates are welcome
  • Working knowledge of Python, Scikit-learn, PyTorch or TensorFlow
  • Comfort with Python, PyTorch or TensorFlow and a serving stack, and the ability to pick up an unfamiliar tool without waiting to be taught it
  • The judgement to know when a problem is yours to solve and when it needs escalating — and to escalate with the relevant detail attached.
  • Attention to detail, ownership and the discipline to document your work
  • Based in Warangal, Telangana or willing to relocate

Perks & benefits

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

About Contentstack

Contentstack operates in the capital markets sector and runs an active team in Warangal. It is a working employer with real customers and real deadlines — the role advertised here exists because there is work that needs doing, not to fill a headcount plan. Industry and what the company…
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