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Icertis logo — Icertis Machine Learning Engineer in Bhopal, Madhya Pradesh
Icertis VerifiedActively Hiring

Machine Learning Engineer

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Location

Bhopal, Madhya Pradesh

Work Mode

Hybrid

Duration

0 months

Stipend

₹66,000/mo

Start Date

Immediate / as per notice period

Openings

3 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Icertis is hiring a Machine Learning Engineer in Bhopal. This is a full-time, permanent role with real ownership from the first quarter — you will be given work that ships, reviewed by people who know the craft, and the context to understand why it matters. About the role This Machine Learning…

About Icertis

Icertis is hiring a Machine Learning Engineer in Bhopal — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 5.3 LPA–10.6 LPA and 3 openings.
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Bhopal, Madhya PradeshVerified employer3 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 Bhopal 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

Support for internal mobility across teamsFixed monthly salary, paid on timeStructured 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 needs

Interview & Selection Process

5 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. 4Final discussion covering role expectations, compensation and start date
  5. 5HR discussion — compensation, notice period, joining date and offer roll-out
66,000/month

Stipend · 0 months

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Openings3 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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