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Aegis Logistics logo — Aegis Logistics Machine Learning Engineer in Bengaluru, Karnataka
Aegis Logistics VerifiedActively Hiring

Machine Learning Engineer

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Location

Bengaluru, Karnataka

Work Mode

Work from Home

Duration

0 months

Stipend

₹76,000/mo

Start Date

Immediate / as per notice period

Openings

1 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹76,000/moApply on Company Website ↗

About the Internship

Applications are open for the Machine Learning Engineer position at Aegis Logistics in Bengaluru. You will join a working team in applied machine learning, take a defined area end to end, and see the result of your work in the hands of real users or customers. About the role The Machine Learning…

About Aegis Logistics

Aegis Logistics is hiring a Machine Learning Engineer in Bengaluru — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 6.1 LPA–12.1 LPA and 1 opening.
Bengaluru, KarnatakaVerified 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 Bengaluru 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. 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
76,000/month

Stipend · 0 months

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Openings1 positions
Applicants0 applied
ModeWork from Home
CategoryMachine Learning
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