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E2E Networks

Machine Learning Engineer

Job · Full-timeHybridFaridabad, Haryana0–2 years60K/mo1 openingImmediate / as per notice period
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About this role

E2E Networks is recruiting a Machine Learning Engineer for its Faridabad team. The role suits someone early in their career who wants depth in applied machine learning rather than a rotation through everything at once. About the role The Machine Learning Engineer role at E2E Networks centres on…

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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 Faridabad, Haryana or willing to relocate

Perks & benefits

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. 2Team fit conversation with two or three future colleagues
  3. 3Final discussion covering role expectations, compensation and start date
  4. 4HR discussion — compensation, notice period, joining date and offer roll-out

About E2E Networks

E2E Networks operates in the cloud services sector and runs an active team in Faridabad. 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 does E2E…
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