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Aye logo — Aye Machine Learning Engineer in Patna, Bihar
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Machine Learning Engineer

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Location

Patna, Bihar

Work Mode

Hybrid

Duration

0 months

Stipend

₹58,000/mo

Start Date

Immediate / as per notice period

Openings

4 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Aye is hiring a Machine Learning Engineer in Patna. 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 The Machine Learning Engineer…

About Aye

Aye 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 4.6 LPA–9.3 LPA and 4 openings.
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Patna, BiharVerified 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 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

Flexible working hours around core collaboration timeModern hardware and the tool licences your role needsInternal knowledge sessions and access to senior reviewersClear, written progression criteria rather than an annual surpriseEmployee referral and performance bonus schemesTeam offsites and regular in-person timeSupport for internal mobility across teamsFixed monthly salary, paid on time

Interview & Selection Process

5 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Technical or practical round based on the day-to-day work of the role
  3. 3Take-home exercise or live problem-solving discussion
  4. 4Discussion with the hiring manager on how you approach problems and work with others
  5. 5HR discussion — compensation, notice period, joining date and offer roll-out
58,000/month

Stipend · 0 months

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Openings4 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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