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.
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:
1Resume screening and profile shortlisting by the talent acquisition team
2Discussion with the hiring manager on how you approach problems and work with others
3Team fit conversation with two or three future colleagues
4Final discussion covering role expectations, compensation and start date
5HR discussion — compensation, notice period, joining date and offer roll-out