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CtrlS Datacenters logo — CtrlS Datacenters Machine Learning Engineer in Navi Mumbai, Maharashtra
CtrlS Datacenters VerifiedActively Hiring

Machine Learning Engineer

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Location

Navi Mumbai, Maharashtra

Work Mode

In Office

Duration

0 months

Stipend

₹67,000/mo

Start Date

Immediate / as per notice period

Openings

4 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹67,000/moApply on Company Website ↗

About the Internship

CtrlS Datacenters has an opening for a Machine Learning Engineer in Navi Mumbai. 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…

About CtrlS Datacenters

CtrlS Datacenters is hiring a Machine Learning Engineer in Navi Mumbai — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 5.3 LPA–10.7 LPA and 4 openings.
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Navi Mumbai, MaharashtraVerified employer4 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 Navi Mumbai 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

Employee referral and performance bonus schemesTeam offsites and regular in-person timeSupport 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 holidays

Interview & Selection Process

3 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. 3HR discussion — compensation, notice period, joining date and offer roll-out
67,000/month

Stipend · 0 months

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Openings4 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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