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Olyv

Machine Learning Engineer

Job · Full-timeHybridBhopal, Madhya Pradesh0–2 years58K/mo1 openingImmediate / as per notice period

About this role

Olyv has an opening for a Machine Learning Engineer in Bhopal. 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 In this role you will be training models and — the harder…

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Skills you'll use

PythonScikit-learnPyTorch or TensorFlowFeature EngineeringModel EvaluationSQLModel DeploymentExperiment TrackingStatisticsGit

What you'll do

  • Build, train and evaluate models against a defined metric
  • Engineer features and check for leakage before trusting results
  • Deploy models and monitor them for drift
  • Run experiments and report results without overclaiming
  • Work with engineering on serving and latency
  • Flag risks and blockers early rather than at the deadline
  • Keep your tracker and status honest, including when something has slipped

Who can apply

  • B.E./B.Tech, BCA/MCA, B.Sc/M.Sc (Statistics / Mathematics) or MBA (Analytics) from a recognised university
  • 0–2 years of relevant experience — internships, academic projects and personal work all count, and 2026 graduates are welcome
  • Working knowledge of Python, Scikit-learn, PyTorch or TensorFlow
  • Comfort with Python, PyTorch or TensorFlow and a serving stack, and the ability to pick up an unfamiliar tool without waiting to be taught it
  • The judgement to know when a problem is yours to solve and when it needs escalating — and to escalate with the relevant detail attached.
  • Attention to detail, ownership and the discipline to document your work
  • Based in Bhopal, Madhya Pradesh or willing to relocate

Perks & benefits

Health 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 needsInternal knowledge sessions and access to senior reviewersClear, written progression criteria rather than an annual surpriseEmployee referral and performance bonus schemes

Interview & selection process

5 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Short introductory call with the recruiter about your background and interest
  3. 3Technical or practical round based on the day-to-day work of the role
  4. 4Take-home exercise or live problem-solving discussion
  5. 5HR discussion — compensation, notice period, joining date and offer roll-out

About Olyv

Olyv operates in the financial technology sector and runs an active team in Bhopal. It is a working employer with real customers and real deadlines — the role advertised here exists because there is work that needs doing, not to fill a headcount plan. Industry and what the company does Olyv works…
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