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DigitalOcean logo — DigitalOcean Machine Learning Engineer in Mohali, Punjab
DigitalOcean VerifiedActively Hiring

Machine Learning Engineer

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Location

Mohali, Punjab

Work Mode

In Office

Duration

0 months

Stipend

₹59,000/mo

Start Date

Immediate / as per notice period

Openings

2 positions

Type

Full-time

Category

Machine Learning

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About the Internship

DigitalOcean is recruiting a Machine Learning Engineer for its Mohali 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 As a Machine Learning Engineer at DigitalOcean, your core…

About DigitalOcean

DigitalOcean is hiring a Machine Learning Engineer in Mohali — 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.
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Mohali, PunjabVerified 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 Mohali 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

Fixed 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 needsInternal knowledge sessions and access to senior reviewers

Interview & Selection Process

3 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. 3HR discussion — compensation, notice period, joining date and offer roll-out
59,000/month

Stipend · 0 months

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Openings2 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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