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LogiNext logo — LogiNext Machine Learning Engineer in Nashik, Maharashtra
LogiNext VerifiedActively Hiring

Machine Learning Engineer

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Location

Nashik, Maharashtra

Work Mode

Work from Home

Duration

0 months

Stipend

₹58,000/mo

Start Date

Immediate / as per notice period

Openings

3 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹58,000/moApply on Company Website ↗

About the Internship

Start your career in applied machine learning at LogiNext as a Machine Learning Engineer in Nashik. 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 In this role you will be training models and —…

About LogiNext

LogiNext is hiring a Machine Learning Engineer in Nashik — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 4.6 LPA–9.2 LPA and 3 openings.
Nashik, MaharashtraVerified 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 Nashik 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

Team 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 holidaysFlexible working hours around core collaboration time

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Short introductory call with the recruiter about your background and interest
  3. 3Technical or practical round based on the day-to-day work of the role
  4. 4HR discussion — compensation, notice period, joining date and offer roll-out
58,000/month

Stipend · 0 months

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Openings3 positions
Applicants0 applied
ModeWork from Home
CategoryMachine Learning
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