Location
Thane, Maharashtra
Work Mode
In Office
Duration
0 months
Stipend
₹60,000/mo
Start Date
Immediate / as per notice period
Openings
4 positions
Type
Full-time
Category
Machine Learning
About the Internship
Zensar Technologies has an opening for a Machine Learning Engineer in Thane. If you would rather learn by owning something small and real than by watching from the sidelines, this full-time applied machine learning role is built that way.
About the role
The Machine Learning Engineer role at Zensar…
About Zensar Technologies
Zensar Technologies is hiring a Machine Learning Engineer in Thane — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 4.8 LPA–9.5 LPA and 4 openings.
Thane, MaharashtraVerified employer4 openings
Apply to Zensar Technologies →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 Thane 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
Flexible 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 timeSupport for internal mobility across teamsFixed monthly salary, paid on time
Interview & Selection Process
5 rounds — typical selection flow for this role:
- 1Resume screening and profile shortlisting by the talent acquisition team
- 2Team fit conversation with two or three future colleagues
- 3Final discussion covering role expectations, compensation and start date
- 4Application screening (CV and, where relevant, a portfolio or code sample)
- 5HR discussion — compensation, notice period, joining date and offer roll-out
₹60,000/month
Stipend · 0 months
Openings4 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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