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BlackRock VerifiedActively Hiring

Machine Learning Engineer

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Location

Aurangabad, Maharashtra

Work Mode

In Office

Duration

0 months

Stipend

₹66,000/mo

Start Date

Immediate / as per notice period

Openings

1 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹66,000/moApply on Company Website ↗

About the Internship

BlackRock has an opening for a Machine Learning Engineer in Aurangabad. 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 As a Machine Learning Engineer at BlackRock, your…

About BlackRock

BlackRock is hiring a Machine Learning Engineer in Aurangabad — 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 1 opening.
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Aurangabad, 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 Aurangabad 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
66,000/month

Stipend · 0 months

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Openings1 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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