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Agnikul Cosmos logo — Agnikul Cosmos Machine Learning Engineer in Guwahati, Assam
Agnikul Cosmos VerifiedActively Hiring

Machine Learning Engineer

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Location

Guwahati, Assam

Work Mode

Work from Home

Duration

0 months

Stipend

₹65,000/mo

Start Date

Immediate / as per notice period

Openings

3 positions

Type

Full-time

Category

Machine Learning

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

About the Internship

Agnikul Cosmos is hiring a Machine Learning Engineer in Guwahati. This is a full-time, permanent role with real ownership from the first quarter — you will be given work that ships, reviewed by people who know the craft, and the context to understand why it matters. About the role This Machine…

About Agnikul Cosmos

Agnikul Cosmos is hiring a Machine Learning Engineer in Guwahati — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 5.2 LPA–10.4 LPA and 3 openings.
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Guwahati, AssamVerified 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 Guwahati 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. 2Technical or practical round based on the day-to-day work of the role
  3. 3HR discussion — compensation, notice period, joining date and offer roll-out
65,000/month

Stipend · 0 months

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Openings3 positions
Applicants0 applied
ModeWork from Home
CategoryMachine Learning
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