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Angel One logo — Angel One Machine Learning Engineer in Patna, Bihar
Angel One VerifiedActively Hiring

Machine Learning Engineer

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Location

Patna, Bihar

Work Mode

In Office

Duration

0 months

Stipend

₹60,000/mo

Start Date

Immediate / as per notice period

Openings

1 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Angel One is recruiting a Machine Learning Engineer for its Patna 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 This Machine Learning Engineer position is about training models and —…

About Angel One

Angel One is hiring a Machine Learning Engineer in Patna — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 4.8 LPA–9.6 LPA and 1 opening.
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Patna, BiharVerified 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 Patna 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. 2Final discussion covering role expectations, compensation and start date
  3. 3Application screening (CV and, where relevant, a portfolio or code sample)
  4. 4Short introductory call with the recruiter about your background and interest
  5. 5HR discussion — compensation, notice period, joining date and offer roll-out
60,000/month

Stipend · 0 months

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Openings1 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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