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Upstox logo — Upstox Machine Learning Engineer in Faridabad, Haryana
Upstox VerifiedActively Hiring

Machine Learning Engineer

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Location

Faridabad, Haryana

Work Mode

Work from Home

Duration

0 months

Stipend

₹65,000/mo

Start Date

Immediate / as per notice period

Openings

4 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹65,000/moApply on Company Website ↗

About the Internship

Start your career in applied machine learning at Upstox as a Machine Learning Engineer in Faridabad. 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 This Machine Learning Engineer position is about…

About Upstox

Upstox is hiring a Machine Learning Engineer in Faridabad — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 5.2 LPA–10.5 LPA and 4 openings.
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Faridabad, HaryanaVerified 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 Faridabad 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. 2Take-home exercise or live problem-solving discussion
  3. 3Discussion with the hiring manager on how you approach problems and work with others
  4. 4Team fit conversation with two or three future colleagues
  5. 5HR discussion — compensation, notice period, joining date and offer roll-out
65,000/month

Stipend · 0 months

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Openings4 positions
Applicants0 applied
ModeWork from Home
CategoryMachine Learning
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