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Exponent Energy

Machine Learning Engineer

Job · Full-timeHybridDehradun, Uttarakhand0–2 years60K/mo2 openingsImmediate / as per notice period

About this role

Exponent Energy is hiring a Machine Learning Engineer in Dehradun. This is a full-time, permanent role with real ownership from the first quarter — you will be given work that ships, reviewed by people who know the craft, and the context to understand why it matters. About the role As a Machine…

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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 Dehradun, Uttarakhand or willing to relocate

Perks & benefits

Paid 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 schemesTeam offsites and regular in-person timeSupport for internal mobility across teams

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 Exponent Energy

Exponent Energy operates in the ev fast charging sector and runs an active team in Dehradun. 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…
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