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Flex

Machine Learning Engineer

Job · Full-timeHybridIndore, Madhya Pradesh0–2 years60K/mo5 openingsImmediate / as per notice period
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About this role

Applications are open for the Machine Learning Engineer position at Flex in Indore. 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 In this role you will be training…

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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 Indore, Madhya Pradesh or willing to relocate

Perks & benefits

Team offsites and regular in-person timeSupport 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 time

Interview & selection process

4 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Final discussion covering role expectations, compensation and start date
  3. 3Application screening (CV and, where relevant, a portfolio or code sample)
  4. 4HR discussion — compensation, notice period, joining date and offer roll-out

About Flex

Flex operates in the electronics manufacturing sector and runs an active team in Indore. 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 Flex…
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