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Pine Labs logo — Pine Labs Machine Learning Engineer in Mumbai, Maharashtra
Pine Labs VerifiedActively Hiring

Machine Learning Engineer

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Location

Mumbai, Maharashtra

Work Mode

Hybrid

Duration

0 months

Stipend

₹83,000/mo

Start Date

Immediate / as per notice period

Openings

4 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹83,000/moApply on Company Website ↗

About the Internship

Pine Labs is recruiting a Machine Learning Engineer for its Mumbai 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 This Machine Learning Engineer position is about training models and —…

About Pine Labs

Pine Labs is hiring a Machine Learning Engineer in Mumbai — a full-time full-time position working in Python, PyTorch or TensorFlow and a serving stack, with an indicative CTC of 6.7 LPA–13.3 LPA and 4 openings.
Mumbai, MaharashtraVerified 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 Mumbai 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

Support 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 budgetPaid leave, casual leave and public holidaysFlexible working hours around core collaboration timeModern hardware and the tool licences your role needs

Interview & Selection Process

5 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Technical or practical round based on the day-to-day work of the role
  3. 3Take-home exercise or live problem-solving discussion
  4. 4Discussion with the hiring manager on how you approach problems and work with others
  5. 5HR discussion — compensation, notice period, joining date and offer roll-out
83,000/month

Stipend · 0 months

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Openings4 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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