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Aditya Infotech logo — Aditya Infotech Machine Learning Engineer in Varanasi, Uttar Pradesh
Aditya Infotech VerifiedActively Hiring

Machine Learning Engineer

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Location

Varanasi, Uttar Pradesh

Work Mode

Work from Home

Duration

0 months

Stipend

₹59,000/mo

Start Date

Immediate / as per notice period

Openings

5 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹59,000/moApply on Company Website ↗

About the Internship

Aditya Infotech is recruiting a Machine Learning Engineer for its Varanasi team. The role suits someone early in their career who wants depth in applied machine learning rather than a rotation through everything at once. About the role This Machine Learning Engineer position is about training…

About Aditya Infotech

Aditya Infotech is hiring a Machine Learning Engineer in Varanasi — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 4.7 LPA–9.5 LPA and 5 openings.
Varanasi, Uttar PradeshVerified employer5 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 Varanasi 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

Learning and certification budgetPaid leave, casual leave and public holidaysFlexible 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 time

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
59,000/month

Stipend · 0 months

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Openings5 positions
Applicants0 applied
ModeWork from Home
CategoryMachine Learning
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