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Zeta logo — Zeta Machine Learning Engineer in Noida, Uttar Pradesh
Zeta VerifiedActively Hiring

Machine Learning Engineer

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Location

Noida, Uttar Pradesh

Work Mode

In Office

Duration

0 months

Stipend

₹86,000/mo

Start Date

Immediate / as per notice period

Openings

2 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Applications are open for the Machine Learning Engineer position at Zeta in Noida. You will join a working team in applied machine learning, take a defined area end to end, and see the result of your work in the hands of real users or customers. About the role The Machine Learning Engineer role at…

About Zeta

Zeta is hiring a Machine Learning Engineer in Noida — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 6.9 LPA–13.7 LPA and 2 openings.
Noida, Uttar PradeshVerified employer2 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 Noida 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. 2Team fit conversation with two or three future colleagues
  3. 3Final discussion covering role expectations, compensation and start date
  4. 4Application screening (CV and, where relevant, a portfolio or code sample)
  5. 5HR discussion — compensation, notice period, joining date and offer roll-out
86,000/month

Stipend · 0 months

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Openings2 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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