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KPMG Global Services logo — KPMG Global Services Machine Learning Engineer in Kolhapur, Maharashtra
KPMG Global Services VerifiedActively Hiring

Machine Learning Engineer

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Location

Kolhapur, Maharashtra

Work Mode

Hybrid

Duration

0 months

Stipend

₹58,000/mo

Start Date

Immediate / as per notice period

Openings

1 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹58,000/moApply on Company Website ↗

About the Internship

Start your career in applied machine learning at KPMG Global Services as a Machine Learning Engineer in Kolhapur. This is a full-time position with a structured first ninety days, a named mentor, and genuine responsibility once you are through it. About the role As a Machine Learning Engineer at…

About KPMG Global Services

KPMG Global Services is hiring a Machine Learning Engineer in Kolhapur — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 4.6 LPA–9.2 LPA and 1 opening.
Kolhapur, MaharashtraVerified employer1 opening
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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 Kolhapur 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

Paid 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 surpriseEmployee referral and performance bonus schemesTeam offsites and regular in-person timeSupport for internal mobility across teams

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Short introductory call with the recruiter about your background and interest
  3. 3Technical or practical round based on the day-to-day work of the role
  4. 4HR discussion — compensation, notice period, joining date and offer roll-out
58,000/month

Stipend · 0 months

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Openings1 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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