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Redington logo — Redington Machine Learning Engineer in Jabalpur, Madhya Pradesh
Redington VerifiedActively Hiring

Machine Learning Engineer

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Location

Jabalpur, Madhya Pradesh

Work Mode

Hybrid

Duration

0 months

Stipend

₹59,000/mo

Start Date

Immediate / as per notice period

Openings

2 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹59,000/moApply on Company Website ↗

About the Internship

Redington has an opening for a Machine Learning Engineer in Jabalpur. 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 Redington…

About Redington

Redington is hiring a Machine Learning Engineer in Jabalpur — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 4.7 LPA–9.5 LPA and 2 openings.
Jabalpur, Madhya 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 Jabalpur 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

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. 2Discussion with the hiring manager on how you approach problems and work with others
  3. 3Team fit conversation with two or three future colleagues
  4. 4HR discussion — compensation, notice period, joining date and offer roll-out
59,000/month

Stipend · 0 months

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Openings2 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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