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Mu Sigma VerifiedActively Hiring

Machine Learning Engineer

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Location

Rajkot, Gujarat

Work Mode

Hybrid

Duration

0 months

Stipend

₹66,000/mo

Start Date

Immediate / as per notice period

Openings

4 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹66,000/moApply on Company Website ↗

About the Internship

Start your career in applied machine learning at Mu Sigma as a Machine Learning Engineer in Rajkot. 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 As a Machine Learning Engineer at Mu Sigma, your…

About Mu Sigma

Mu Sigma is hiring a Machine Learning Engineer in Rajkot — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 5.3 LPA–10.6 LPA and 4 openings.
Rajkot, GujaratVerified 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 Rajkot 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

Clear, written progression criteria rather than an annual surpriseEmployee referral and performance bonus schemesTeam 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 budget

Interview & Selection Process

5 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. 3Team fit conversation with two or three future colleagues
  4. 4Final discussion covering role expectations, compensation and start date
  5. 5HR discussion — compensation, notice period, joining date and offer roll-out
66,000/month

Stipend · 0 months

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Openings4 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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