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Anand Rathi logo — Anand Rathi Machine Learning Engineer in GIFT City, Gandhinagar, Gujarat
Anand Rathi VerifiedActively Hiring

Machine Learning Engineer

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Location

GIFT City, Gandhinagar, Gujarat

Work Mode

Hybrid

Duration

0 months

Stipend

₹57,000/mo

Start Date

Immediate / as per notice period

Openings

3 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Applications are open for the Machine Learning Engineer position at Anand Rathi in GIFT City, Gandhinagar. 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 This Machine…

About Anand Rathi

Anand Rathi is hiring a Machine Learning Engineer in GIFT City, Gandhinagar — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 4.5 LPA–9.1 LPA and 3 openings.
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GIFT City, Gandhinagar, GujaratVerified 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 GIFT City, Gandhinagar 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. 2Application screening (CV and, where relevant, a portfolio or code sample)
  3. 3Short introductory call with the recruiter about your background and interest
  4. 4Technical or practical round based on the day-to-day work of the role
  5. 5HR discussion — compensation, notice period, joining date and offer roll-out
57,000/month

Stipend · 0 months

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Openings3 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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