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Cummins India logo — Cummins India Machine Learning Engineer in Kochi, Kerala
Cummins India VerifiedActively Hiring

Machine Learning Engineer

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Location

Kochi, Kerala

Work Mode

In Office

Duration

0 months

Stipend

₹68,000/mo

Start Date

Immediate / as per notice period

Openings

5 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹68,000/moApply on Company Website ↗

About the Internship

Cummins India is recruiting a Machine Learning Engineer for its Kochi 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 Cummins India centres on…

About Cummins India

Cummins India is hiring a Machine Learning Engineer in Kochi — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 5.4 LPA–10.8 LPA and 5 openings.
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Kochi, KeralaVerified 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 Kochi 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. 2Final discussion covering role expectations, compensation and start date
  3. 3Application screening (CV and, where relevant, a portfolio or code sample)
  4. 4HR discussion — compensation, notice period, joining date and offer roll-out
68,000/month

Stipend · 0 months

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Openings5 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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