Unacademy is recruiting a Machine Learning Engineer for its Pune team. The role suits someone early in their career who wants depth in applied machine learning rather than a rotation through everything at once.
About the role
The Machine Learning Engineer role at Unacademy centres on training…
About Unacademy
Unacademy is hiring a Machine Learning Engineer in Pune — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 6.7 LPA–13.4 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 Pune 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
2Take-home exercise or live problem-solving discussion
3Discussion with the hiring manager on how you approach problems and work with others
4Team fit conversation with two or three future colleagues
5HR discussion — compensation, notice period, joining date and offer roll-out