Location
Faridabad, Haryana
Work Mode
Hybrid
Duration
0 months
Stipend
₹60,000/mo
Start Date
Immediate / as per notice period
Openings
5 positions
Type
Full-time
Category
Machine Learning
About the Internship
Applications are open for the Machine Learning Engineer position at Hitachi Energy India in Faridabad. You will join a working team in applied machine learning, take a defined area end to end, and see the result of your work in the hands of real users or customers.
About the role
The Machine…
About Hitachi Energy India
Hitachi Energy India is hiring a Machine Learning Engineer in Faridabad — 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 5 openings.
Faridabad, HaryanaVerified employer5 openings
Apply to Hitachi Energy India →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 Faridabad 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
Openings5 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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