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Aeron Systems logo — Aeron Systems Machine Learning Engineer in Aurangabad, Maharashtra
Aeron Systems VerifiedActively Hiring

Machine Learning Engineer

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Location

Aurangabad, Maharashtra

Work Mode

In Office

Duration

0 months

Stipend

₹58,000/mo

Start Date

Immediate / as per notice period

Openings

3 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹58,000/moApply on Company Website ↗

About the Internship

Start your career in applied machine learning at Aeron Systems as a Machine Learning Engineer in Aurangabad. This is a full-time position with a structured first ninety days, a named mentor, and genuine responsibility once you are through it. About the role The Machine Learning Engineer role at…

About Aeron Systems

Aeron Systems 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 4.6 LPA–9.2 LPA and 3 openings.
Aurangabad, MaharashtraVerified employer3 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 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

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. 2Short introductory call with the recruiter about your background and interest
  3. 3HR discussion — compensation, notice period, joining date and offer roll-out
58,000/month

Stipend · 0 months

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Openings3 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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